What your main responsibilities are : Lead and implement advanced analytical processes through data/text mining, model development, and prediction to enable informed business decisions. Apply sound analytical expertise to examine structured and unstructured data from multiple disparate sources to provide insights and recommend high-quality solutions to leadership across levels. Plan initiatives from concept to execution with minimal supervision and communicate results to a broad range of audiences. Develops a superior understanding of Customer Experience touchpoints through internal and external sources to creatively solve business problems and lead the team from concept to execution of projects. Typically uses data, statistical and quantitative analysis, modeling, and fact-based management to drive decision making. Provides regular expert consultative advice to senior leadership. Effectively shares best practices and fosters knowledge sharing across teams. Provides cross-team and cross-org consultation and supports communities of practice excellence. What you’ll be working on : Leadership: Lead cross functional projects and programs formally preparing and presenting to management. Routinely work on multiple highly complex assignments concurrently. Provides consultation to Sr. Leadership on a regular basis. Curiosity and inquisitiveness - should be able to reason well and raise pertinent questions. Exploration/Opportunity Identification: Identifies available data, including internal and external data sources, works with internal and external subject matter experts to select the relevant sources of information. Explores data sets from a variety of different sources to gather, synthesize and analyze relevant data. Explores data to refine hypotheses, discover new relationships, insights and analytic paths from the data. Identifies latest technological advances that accelerate the data analytics of the enterprise. Statistical Analysis & Evaluation: Provides analytics expertise to solve in depth and technical problems. Develops design approaches to validate finding(s) or test hypotheses. Identifies/creates the appropriate algorithms to discover patterns, trends and clusters in related or unrelated variables. Gathers relevant information, identifies relationships, deduces from cause to effect, and draws logical conclusions to drive business decisions. Works in iterative processes with the customer/business partner and validates findings. Presentation/Strategic Recommendations: Presenting senior executives with strong storytelling capability to drive insights out of data. Helps the business understand the data behind their results to gain stakeholder buy-in. Provides thought leadership and dependable execution on diverse projects. Leads discovery process with stakeholders to identify business requirements and expected outcome, Presents/frames business scenarios in ways that are meaningful and depicts their findings in easy-to understand terms. What we are looking for : • Relevant experience in analytics/consulting/informatics and statistics • Key Skills - Data and Business Analytics, Advanced Statistics and Predictive Modelling, Stakeholder Management, Project Management • Experience in pricing and revenue management – yield management, customer segmentation analytics, revenue impact analytics, etc. is a plus • Exposure to predictive analytics, ML/ AI techniques is an added advantage • Education – MBA/Masters in Information Systems, Computer Science, or a quantitative discipline such as mathematics, engineering, operations research, economics & statistics from tier 1/2 institutes • Tools - Oracle, SQL Server, Teradata, SAS, Python, Tableau/Power BI/Spotfire • Good to have – cloud computing, big data, Azure Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. About EY GDS Global Delivery Services (GDS) is a dynamic and truly global delivery network. Across our six locations, we work with teams from all EY service lines, geographies and sectors, and play a vital role in the delivery of the EY growth strategy. We operate from six countries and sixteen cities: Argentina (Buenos Aires) China (Dalian) India (Bangalore, Chennai, Gurgaon, Hyderabad, Kochi, Kolkata, Mumbai, Noida, Trivandrum) Philippines (Manila) Poland (Warsaw and Wroclaw) UK (Manchester, Liverpool) Careers in EY Global Delivery Services Join a team of over 50,000 people, working across borders, to provide innovative and strategic business solutions to EY member firms around the world. Join one of our dynamic teams From accountants to coders, we offer a wide variety of fulfilling career opportunities that span all business disciplines Our Consulting practice provides differentiated focus on the key business themes to help our clients solve better questions around technology. Our vision is to be recognized as a leading provider of differentiated technology consulting services, harnessing new disruptive technology, alliances and attracting talented people to solve our clients' issues. It's an exciting time to join us and grow your career as a technology professional. A technology career is about far more than leading-edge innovations. It’s about the application of these technologies in the real world to make a real, meaningful impact. We are looking for highly motivated, articulate individuals who have the skills to the technology lifecycle and are passionate about designing innovative solutions to solve complex business problems. Your career in Consulting can span across these technology areas/ services lines: Digital Technologies: We are a globally integrated digital architecture and engineering team. Our mission is to deliver tailored, custom-built end to end solutions to our customers that are Digital, Cloud Native and Open Source. Our skills include Experience design, UI development, Design Thinking, Architecture & Design, Full stack development (.Net/ Java/ SharePoint/ Power Platform), Emerging Technologies like Block Chain, IoT, AR\VR, Drones, Cloud and DevSecOps. We use industrialized techniques, built on top of agile methods utilizing our global teams to deliver end to end solutions at best unit cost proposition. Testing Services: We are the yardstick of quality software product. We break something to make the product stronger and successful. We provide entire gamut of testing services including Busines / User acceptance testing. Hence this is a team with all round skills such as functional, technical and process. Data & Analytics: Data and Analytics is amongst the largest and most versatile practices within EY. Our sector and domain expertise combined with technical skills in data, cloud, advanced analytics and artificial intelligence differentiates us in the industry. Our talented team possesses cross-sector and cross-domain expertise and a wide array of skills in Information Management (IM), Business Intelligence (BI), Advance Analytics (AA) and Artificial Intelligence (AI) Oracle: We provide one-stop solution for end-to-end project implementation enabled by Oracle and IBM Products. We use proven methodologies, tools and accelerators to jumpstart and support large Risk and Finance Transformation. We develop solutions using various languages such as SQL or PL/ SQL, Java, Java Script, Python, IBM Maximo and other Oracle Utilities. We also provide consulting services for streamlining the current reporting process using various Enterprise Performance Management tools. SAP: By building on SAP’s S/4HANA digital core and cloud services, EY and SAP are working to help organizations leverage industry-leading technologies to improve operational performance. This collaboration helps drive digital transformation for our clients across areas including finance, human resources, supply chain and procurement. Our goal is to support clients as they initiate or undergo major transformation. Our capabilities span end-to-end solution implementation services from strategy and architecture to production deployment. EY supports clients in three main areas, Technology implementation support, Enterprise and Industry application implementation, Governance Risk Compliance (GRC) Technology. Banking and Capital Market Services: Banking and Capital Market Services companies are transforming their complex tax and finance functions with technologies such as AI and ML. With the right blend of core competencies, tax and finance personnel will shift to data, process and technology skills to service global clients on their Core Banking Platforms and support their business / digital transformation like Deposit system replacements, lending / leasing modernization, Cloud–native architecture (Containerization) etc. Wealth and Asset Management: We help our clients thrive in a transformative age by providing innovative services to global and domestic asset management clients to increase efficiency, effectiveness and manage the overall impact on bottom line profitability by leveraging the technology, data and digital teams. We do many operational efficiency programs and Technology Enabled Transformation to re-platform their front and Back offices with emerging technologies like AI, ML, Blockchain etc. Insurance Transformation: The current changing Macroeconomic trends continue to challenge Insurers globally. However, with disruptive technologies – including IoT, autonomous vehicles, Blockchain etc, we help companies through these challenges and create innovative strategies to transform their business through technology enabled transformation programs. We provide end to end services to Global P&C (General), Life and Health Insurers, Reinsurers and Insurance brokers. Cyber Security: The ever-increasing risk and complexity surrounding cybersecurity and privacy has put cybersecurity at the top of the agenda for senior management, the Board of Directors, and regulators. We help our clients to understand and quantify their cyber risk, prioritize investments, and embed security, privacy and resilience into every digitally-enabled initiative – from day one. Technology Risk: A practice that is a unique, industry-focused business unit that provides a broad range of integrated services where you’ll contribute technically to IT Risk and Assurance client engagements and internal projects. An important part of your role will be to actively establish, maintain and strengthen internal and external relationships. You’ll also identify potential business opportunities for EY within existing engagements and escalate these as appropriate. Similarly, you’ll anticipate and identify risks within engagements and share any issues with senior members of the team. Behavioral Competencies: Adaptive to team and fosters collaborative approach Innovative approach to the project, when required Shows passion and curiosity, desire to learn and can think digital Agile mindset and ability to multi-task Must have an eye for detail Skills needed: Should have understanding and/or experience of software development best practices and software development life cycle Understanding of one/more programming languages such as Java/ .Net/ Python, data analytics or databases such as SQL/ Oracle/ Teradata etc. Internship in a relevant technology domain will be an added advantage Qualification: BE - B. Tech / (IT/ Computer Science/ Circuit branches) Should have secured 60% and above No active Backlogs EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

What You'll Do Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job Overview And Responsibilities The team is currently looking for an entry level data scientist who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. In-depth understanding of modeling techniques and the ability to perform in a team as well as an individual is paramount to success in this role. The person must have experience to able to extract insights from large volumes of data and clearly communicate relevant triggers and recommendations. High-level responsibilities of the role include: Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques Continuously develop and demonstrate improved analysis methodologies You will have strong modelling skills and are comfortable owning data and working from concept through to execution Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications Required Bachelor's degree required Master's Degree in a quantitative field like Math, Statistics, Operations Research and/or MBA preferred At least 2+ years of experience in modeling/ machine learning required Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling Strong knowledge of either R or Python Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner Exhibit written and spoken English fluency About 4-6 weeks of travel to US in a year required Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position GGN00001901 Show more Show less

What You'll Do Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Overview Data Analyst will be responsible to partner closely with business and S&T teams in preparing final analysis reports for the stakeholders enabling them to make important decisions based on various facts and trends and lead data requirement, source analysis, data analysis, data transformation and reconciliation activities. This role will be interacting with DG, DPM, EA, DE, EDF, PO and D &Ai teams for historical data requirement and sourcing the data for Mosaic AI program to scale solution to new markets. Responsibilities Lead data requirement, source analysis, data analysis, data transformation and reconciliation activities. Partners with FP&A Product Owner and associated business SMEs to understand & document business requirements and associated needs Performs the analysis of business data requirements and translates into a data design that satisfies local, sector and global requirements Using automated tools to extract data from primary and secondary sources. Using statistical tools to identify, analyse, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction. Working with engineers, and business teams to identify process improvement opportunities, propose system modifications. Proactively identifies impediments and looks for pragmatic and constructive solutions to mitigate risk. Be a champion for continuous improvement and drive efficiency. Preference will be given to candidate having functional understanding of financial concepts (P&L, Balance Sheet, Cash Flow, Operating Expense) and has experience modelling data & designing data flows Qualifications Bachelor of Technology from a reputed college Minimum 8-10 years of relevant work experience on data modelling / analytics, preferably Minimum 5-6year experience of navigating data in Azure Databricks, Synapse, Teradata or similar database technologies Expertise in Azure (Databricks, Data Factory, Date Lake Store Gen2) Proficient in SQL, Pyspark to analyse data for both development validation and operational support is critical Exposure to GenAI Good Communication & Presentation skill is must for this role.

What You'll Do Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

What You'll Do Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 8 years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Sr Developer with special emphasis and experience of 8 to 10 years on Python and Pyspark along with hands on experience on AWS Data components like AWS Glue, Athena etc.,. Also have good knowledge on Data ware house tools to understand the existing system. Candidate should also have experience on Datalake, Teradata and Snowflake. Should be good at terraform. 8-10 years of experience in designing and developing Python and Pyspark applications Creating or maintaining data lake solutions using Snowflake,taradata and other dataware house tools. Should have good knowledge and hands on experience on AWS Glue , Athena etc., Sound Knowledge on all Data lake concepts and able to work on data migration projects. Providing ongoing support and maintenance for applications, including troubleshooting and resolving issues. Expertise in practices like Agile, Peer reviews and CICD Pipelines. Show more Show less

About This Role Wells Fargo is seeking a Risk Analytics Consultant. In This Role, You Will Participate in less complex analysis and modeling initiatives, and identify opportunity for process production, data reconciliation, and model documentation improvements within Risk Management Review and analyze programing models to extract data, and manipulate databases to provide statistical and financial modeling, and exercise independent judgment to guide new and existing projects with medium risk deliverables Coordinate and consolidate the production of monthly, quarterly, and annual performance reports for more experienced management Present recommendations for resolving data reconciliation, production, and database issues Exercise independent judgment while developing expertise in policy governance, risk projects, and regulatory requests Collaborate and consult with peers, managers, experienced managers, compliance, including various lines of business Required Qualifications: 2+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: 2+ years of experience SQL, Teradata, and or Hadoop experience. 2+ years of experience with BI tools such as Tableau, Power BI or Alteryx applications. 2+ years of experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk). Experience researching and resolving data problems and working with technology teams on remediation of data issues. Demonstrated strong analytical skills with high attention to detail and accuracy. Excellent verbal, written, and listening communication skills. Job Expectations: Fully understands Data Quality Checks, Methodology, Dimensions for data completeness, accuracy, and that policies and procedures are followed. Becomes a SME in the DQ Check elements, technology infrastructure utilized, and fully understands the metadata and lineage from DQ report to source data. Escalates potential risks, issues, or calendar/timeliness risks in a timely manner to management/Data Management Sharepoint. Ensures the organization and storage of DQ checks artifacts, files, and evidences are effective, efficient, and make sense. Perform deep dive analytics (both Adhoc and structured) and provide reporting or results to both internal and external stakeholders. Design and build rich data visualizations to communicate complex ideas and automate reporting and controls. Create and interpret Business Intelligence data (Reporting, Basic Analytics, Predictive Analytics and Prescriptive Analytics) combined with business knowledge to draw supportable conclusions about current and future risk levels. Becomes a SME in the Reporting, Data Quality check elements, technology infrastructure utilized, and fully understands the metadata and lineage from DQ report to source data. To demonstrate the ability to identify and implement areas of opportunities for quality assurance, data validation, analytics and data aggregation to improve overall reporting efficiencies. Creating and executing the UAT test cases, logging the defects and managing the defects till closure. Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals. Outstanding problem solving and analytical skills with ability to turn findings into strategic imperatives. Ability to meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment. Experience with hands-on risk reporting and intelligence. Ability to develop and maintain data documentation including Governance and Oversight (G&O) artifacts. Ability to perform in-depth analytics (both Ad-hoc and structured) and provide reporting or results to internal stakeholders. Experience working across Finance, Basel, Counterparty, Market and Credit Risk domains. Strong validation and reconciliation competencies, data mining and intellectual curiosity. Posting End Date: 15 Jun 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-453796 Show more Show less

Sr Developer with special emphasis and experience of 8 to 10 years on Python and Pyspark along with hands on experience on AWS Data components like AWS Glue, Athena etc.,. Also have good knowledge on Data ware house tools to understand the existing system. Candidate should also have experience on Datalake, Teradata and Snowflake. Should be good at terraform. 8-10 years of experience in designing and developing Python and Pyspark applications Creating or maintaining data lake solutions using Snowflake,taradata and other dataware house tools. Should have good knowledge and hands on experience on AWS Glue , Athena etc., Sound Knowledge on all Data lake concepts and able to work on data migration projects. Providing ongoing support and maintenance for applications, including troubleshooting and resolving issues. Expertise in practices like Agile, Peer reviews and CICD Pipelines. Show more Show less

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business. Consultant: SQL & Python/R Brief About The Team & Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand customers and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Technical And Domain Expertise Expertise in SQL & Python/R with Statistical techniques and reporting Role The team member is expected to work directly with the client in a fast-paced working environment to address their day-to-day analytics needs. The Indicative Areas Of Work Could Be User Analytics - Understanding user behavior in the app, feature adoption, understanding retention & churn drivers etc., transaction behavior across features, offer & scratch card redemption, impact of email and notifications Marketing measurement - Evaluating effectiveness of marketing campaigns through channels like ATL & performance media Product analytics Responsibilities Client management: Be able to lead the conversations with the client and develop deep understanding of the nature of work to share new ideas and opportunity segments The candidate is required to bring in consulting expertise and work closely with the client to identify opportunities for growth and scale the engagement Communicate with the clients and understand their business needs Technical: Work with large, complex data sets to solve difficult, non-routine analysis problems, applying advanced analytical methods as needed Build data pipelines, and dashboards for marketers to self-serve data needs; enable automated tracking of marketing campaigns Harmonize data as required and setup models according to the business logic defined Use statistical tools to identify and evaluate the relationships between data fields, analyze output and determine the next action Project management: Lead at least one client engagement independently. Execute end to end client engagements. Ensure regular client updates & meetings, stakeholder management, any failure or risk analysis of the project, data sources, tracking execution & success metrics is done effectively & efficiently. Qualifications & Experience Hands on experience with databases, SQL coding across standard commercial databases (e.g., Teradata, MySQL), and statistics tools (e.g., R / Python). Hands on experience with quantitative analysis/modeling (e.g., scenario-based, sensitivity analyses, statistical techniques) and reporting Advanced knowledge of SQL is a must Good problem solving & insight generation skills Excellent communication skills with technical and non-technical stakeholders Education B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent Location: Bangalore/Mumbai/Gurgaon If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest! Show more Show less

You Lead the Way. We’ve Got Your Back. With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally. At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong. Join Team Amex and let's lead the way together Description This position is within the Independent Compliance Testing (ICT) team, which performs 2nd line of defense testing across American Express products and portfolio segments. ICT conducts risk-based Compliance Reviews to assess compliance with laws, regulations, and policy impacting diverse American Express products and services. This role will be responsible for designing and creating system-assisted testing to support ICT reviews and requires a balance of compliance risk management with data and programming skills. Responsibilities • The primary responsibility will be performing system-assisted compliance testing and testing design, including ad hoc analysis, on American Express systems. • Providing analytical support in the evaluation of various general credit, underwriting, customer management, and compliance-related policies and banking regulations. • Building transactional testing capabilities for the bank and continuously following up on exceptions generated through this capability. • Working with business partners to identify and evaluate means of new system-assisted testing for ICT reviews • Effectively utilize and promote disciplined project methodologies to facilitate the design, implementation, and control of system testing projects. • Potentially support special projects, compile data and prepare reports for senior management and other personnel. • Maintain necessary records and files to assure efficient and consistent reporting of compliance efforts. • Collaborating with risk, compliance, and business partners across multiple groups to ensure adherence to Bank policy and banking laws and regulations. • The position will interface regularly with business partners, examiners/auditors, and third-party vendors. Minimum Qualifications • The qualified individual will have minimum 3years experience : • Demonstrated proficiency using SQL, a variety of databases, and comfort and ease in accurately manipulating large datasets • Proficiency with Hive / HQL, Python, Jupyter notebooks, Spark • Familiarity with High Density File Systems (Big Data) such as Hadoop, and the tools required to import, export, and work with big data environments • Experience with Teradata and UNIX is desired • Proficiency with statistical methods and analysis • Strong analytical and project management skills, with a track record of driving results and problem solving. • Excellent organization, prioritization and collaboration skills are a must. • The candidate should be a highly motivated self-starter able to operate on multiple fronts with careful attention to detail • Undergraduate Degree in a quantitative field or equivalent work experience is required Successfully candidates must also: • Possess strong interpersonal, leadership and change management skills, as well as strong presentation and communication skills (written and verbal) • Be self-motivated, dependable, adaptable and detail oriented with a proven ability to work independently or within a team environment as required • Have a demonstrated ability to think conceptually, using strong analytical skills • Be able to explore and deduce comprehension of new unfamiliar datasets • Possess a strong understanding of bank systems and processes; strong computer knowledge; excellent MS Word, Excel, Visio and PowerPoint skills • Experience with machine learning algorithms preferred • Knowledge of IBM mainframe is desired but not required • CRCM, CIA, CAMS, CPA or related designation/certification is helpful but not required We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include: Competitive base salaries Bonus incentives Support for financial-well-being and retirement Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need Generous paid parental leave policies (depending on your location) Free access to global on-site wellness centers staffed with nurses and doctors (depending on location) Free and confidential counseling support through our Healthy Minds program Career development and training opportunities American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law. Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations. Show more Show less

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Snowflake Data Warehouse Summary: As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Snowflake Data Warehouse. Your typical day will involve collaborating with cross-functional teams, analyzing business requirements, and developing scalable and efficient solutions. Roles & Responsibilities: Design, build, and configure applications to meet business process and application requirements using Snowflake Data Warehouse. Collaborate with cross-functional teams to analyze business requirements and develop scalable and efficient solutions. Develop and maintain technical documentation, including design documents, test plans, and user manuals. Ensure the quality of the application by conducting unit testing, integration testing, and performance testing. Professional & Technical Skills: Must To Have Skills: Experience in Snowflake Data Warehouse. Good To Have Skills: Experience in other data warehousing technologies like Redshift, BigQuery, or Azure Synapse Analytics. Strong understanding of database concepts and SQL. Experience in ETL tools like Talend, Informatica, or DataStage. Experience in developing and maintaining technical documentation. Experience in conducting unit testing, integration testing, and performance testing. Additional Information: The candidate should have experience in Snowflake Data Warehouse. The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful data-driven solutions.

Location Gurugram, Haryana, India This job is associated with 2 categories Job Id GGN00001901 Information Technology Job Type Full-Time Posted Date 05/29/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description United's Digital Technology team designs, develops, and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Find your future at United! We’re reinventing what our industry looks like, and what an airline can be – from the planes we fly to the people who fly them. When you join us, you’re joining a global team of 100,000+ connected by a shared passion with a wide spectrum of experience and skills to lead the way forward. Achieving our ambitions starts with supporting yours. Evolve your career and find your next opportunity. Get the care you need with industry-leading health plans and best-in-class programs to support your emotional, physical, and financial wellness. Expand your horizons with travel across the world’s biggest route network. Connect outside your team through employee-led Business Resource Groups. Create what’s next with us. Let’s define tomorrow together. Job overview and responsibilities The team is currently looking for an entry level data scientist who has a passion for data and analytics with the willingness to dig deep into details as well as the ability to assess the big picture. In-depth understanding of modeling techniques and the ability to perform in a team as well as an individual is paramount to success in this role. The person must have experience to able to extract insights from large volumes of data and clearly communicate relevant triggers and recommendations. High-level responsibilities of the role include: Execute solutions to business problems using data analysis, data mining, optimization tools, statistical modeling and machine learning techniques Continuously develop and demonstrate improved analysis methodologies You will have strong modelling skills and are comfortable owning data and working from concept through to execution Understand a business problem and the available data and identify what analytics and modeling techniques can be applied to answer a business question This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications Required Bachelor's degree required Master's Degree in a quantitative field like Math, Statistics, Operations Research and/or MBA preferred At least 2+ years of experience in modeling/ machine learning required Proven comfort and an intellectual curiosity for working with very large sets of data, and hands-on knowledge in predictive modeling Strong knowledge of either R or Python Be experienced in manipulating and analyzing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships Understanding of how and when to apply predictive and machine learning techniques like logistic regression, random forest, GBM, Neural Nets, SVM etc. is required Be proficient in using database querying tools and able to write complex queries and procedures using Teradata SQL and/or Microsoft TSQL Hands on experience in using Big Data ecosystems (Hadoop/Spark), API Gateways and non-structured data will be a plus Being able to communicate complex quantitative analysis and algorithms in a clear, precise and actionable manner Exhibit written and spoken English fluency About 4-6 weeks of travel to US in a year required Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position

Job Title: Data Scientist Contract Duration: 1 Year Location: Mumbai Experience Required: 3–7 Years Project Requirement We are seeking Junior Data Scientists with strong Python skills and experience in Jupyter Notebooks to support ongoing initiatives within the Teradata Data Lake/Lakehouse Platform . Responsibilities Collect, clean, and preprocess data from various sources for analysis. Perform exploratory data analysis to identify patterns, trends, and insights. Assist in developing and implementing machine learning models and algorithms using Python and Jupyter Notebooks. Collaborate with senior data scientists and cross-functional teams to understand business needs and propose data-driven solutions. Create clear data reports and visualizations to effectively communicate findings. Continuously improve data quality and stay updated with the latest trends in data science. Document all procedures related to data handling and analysis. Support the implementation of on-premise AI/ML solutions. Learn and apply Explainable AI (XAI) techniques to improve model transparency. Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. 3–7 years of relevant experience in Data Science or Analytics. Strong proficiency in Python and Jupyter Notebooks. Familiarity with Teradata and data lake/lakehouse architectures. Basic understanding of machine learning algorithms and statistical methods. Strong problem-solving and analytical skills. Effective communication skills and the ability to work collaboratively in a team. Exposure to on-premise AI/ML tools and solutions. Basic knowledge of Explainable AI concepts and practices. Skills Mandatory: Python (Data Science), Jupyter Notebooks Preferred: Teradata, Machine Learning, Data Lakehouse, Explainable AI Show more Show less

About This Role Wells Fargo is seeking a Data Management Analyst In This Role, You Will Participate in less complex analysis to identify and remediate data quality or integrity issues and to identify and remediate process or control gaps Adhere to data governance standards and procedures Identify data quality metrics and execute data quality audits to benchmark the state of data quality Design and monitor data governance, data quality and metadata policies, standards, tools, processes, or procedures to ensure data control and remediation for companywide data management functions Support communications with basic documentation related to requirements, design decisions, issue closure, or remediation updates Support issue remediation by performing medium risk data profiling, data or business analysis, and data mapping as part of root cause or impact analysis Provide support to regulatory analysis and reporting requirements Recommend plans for the development and implementation of initiatives that assess the quality of new data sources Work with business and technology partners or subject matter professionals to document or maintain business or technical metadata about systems, business or data elements, or data-related controls Consult with clients to assess the current state of data quality within area of assigned responsibility Required Qualifications 2+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Strong years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Experience working with complex datasets using SQL Experience working in Commercial Banking and Lending Data (CBL) Domain at Wells Fargo Regulatory Reporting Experience is a plus - FRY 14, FRY 9C, BASEL, FFIEC, FR 2052a, BSA/AML..etc Analytical skills with high attention to detail, accuracy, and data wrangling Ability to manipulate data from non-normalized or disparate data sources Documentation of the updated logic for regulatory audit needs Ownership & Accountability for Delivery Experience in Commercial Lending Systems Knowledge in 14Q Regulatory Reporting space Experience in SQL - Teradata Good knowledge & experience in Agile Project Management Tools MS Office suite Exposure to Data Visualization Tools like Tableau/Power BI is a plus Good Verbal & Written Communication Job Expectations: Must demonstrate strong communication skills including Management Reporting (good with Power Point skills). Excellent verbal, written, and interpersonal communication skills Analysis and reporting in support of regulatory requirements Identify and recommend analysis of data quality or integrity issues Evaluate data quality metrics and data quality audits to benchmark the state of data quality Identify new data sources and develop recommendations for assessing the quality of new data Consult with and provide recommendations to management regarding assessments of the current state of data and metadata quality within area of assigned responsibility Ability & Compatibility to work with US Geography from India Time Zone Ability to work independently and handle large scale deliveries Open to New Ideas & Contribution in Innovation & Automation Posting End Date: 8 Jun 2025 Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants With Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment And Hiring Requirements Third-Party recordings are prohibited unless authorized by Wells Fargo. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process. Reference Number R-459151 Show more Show less

What You’ll Do We are seeking a dynamic Account Executive Artificial Intelligence (AI) to join our strong and strategic sales tea m . As a n AE (AI), you will drive the adoption of our AI solutions in our “Rest of Cloud” ( RoC ) market that includes to Cloud Service Providers (CSPs) and emerging AI providers such as AI native cloud builders, AI SaaS providers, and AI System Integrators . You will understand their specific needs and drive AI Infrastructure and Networking solutions that align to their business operations. This role requires a deep understanding of AI Infrastructure and large-scale networking with a strong ability to translate technical concepts to a diverse audience. Who You’ll Work With The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for customer transformation and growth. We are the worldwide go-to-market compute and data center networking engine assembling market transitions and engaging with sellers to fuel growth for customers and Cisco. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling every single day. Who You Are You will develop and execute a strategy to deliver incremental revenu e for AI and large-scale networking products and services including network routing and switching, optics and data center interconnects, automation and performance optimization across emerging AI provider accounts and develop relationships with key decision-makers and partners. Engaging with your clients to understand their business challenges and conducting detailed analysis to find new opportunities for AI and networking solutions are the dynamic skills you will bring to this role. You understand AI technology and the market and can translate technical concepts i nto business value for clients. Minimum Qualifications 8 + years of technology-related business development experience Experience unlocking revenue for new innovative technology-based solutions. Experience working with Cloud Service Providers, NeoCloud customers, and/or AI System Integrators . Experience in understanding business issues of Cloud Builders and Providers, Networking Infrastructure / accelerated Computing/ Data Center technology/ Deep learning & machine learning. Proven ability to work cross-functionally with Engineering and Marketing to develop and launch new AI or Networking Infrastructure offers Preferred Qualifications Bachelor’s degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. Excellent verbal and written communication skills. Experience bridging large-scale network ing concepts with AI infrastructure (data center / compute) Experience with deep learning, data science, and NVIDIA GPUs. Experience in two or more data estate workloads such as: Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB , Azure SQL or HDInsight, etc.), AWS (Redshift, Aurora, Glue), Google ( BigQuery ), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR or Cloudera/Hortonworks, etc. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Why Cisco #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters – with people like you! Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We’re helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco Show more Show less

What You’ll Do We are seeking a dynamic Account Executive Artificial Intelligence (AI) to join our strong and strategic sales tea m . As a n AE (AI), you will drive the adoption of our AI solutions in our “Rest of Cloud” ( RoC ) market that includes to Cloud Service Providers (CSPs) and emerging AI providers such as AI native cloud builders, AI SaaS providers, and AI System Integrators . You will understand their specific needs and drive AI Infrastructure and Networking solutions that align to their business operations. This role requires a deep understanding of AI Infrastructure and large-scale networking with a strong ability to translate technical concepts to a diverse audience. Who You’ll Work With The Cloud + AI Infrastructure team delivers one scalable strategy with local execution for customer transformation and growth. We are the worldwide go-to-market compute and data center networking engine assembling market transitions and engaging with sellers to fuel growth for customers and Cisco. Alongside our colleagues, Cloud & AI Infrastructure builds the sales strategy, activates sellers and technical communities, and accelerates selling every single day. Who You Are You will develop and execute a strategy to deliver incremental revenu e for AI and large-scale networking products and services including network routing and switching, optics and data center interconnects, automation and performance optimization across emerging AI provider accounts and develop relationships with key decision-makers and partners. Engaging with your clients to understand their business challenges and conducting detailed analysis to find new opportunities for AI and networking solutions are the dynamic skills you will bring to this role. You understand AI technology and the market and can translate technical concepts i nto business value for clients. Minimum Qualifications 8 + years of technology-related business development experience Experience unlocking revenue for new innovative technology-based solutions. Experience working with Cloud Service Providers, NeoCloud customers, and/or AI System Integrators . Experience in understanding business issues of Cloud Builders and Providers, Networking Infrastructure / accelerated Computing/ Data Center technology/ Deep learning & machine learning. Proven ability to work cross-functionally with Engineering and Marketing to develop and launch new AI or Networking Infrastructure offers Preferred Qualifications Bachelor’s degree or equivalent experience in Business, Computer Science, Engineering, or a related field; advanced degree is a plus. Excellent verbal and written communication skills. Experience bridging large-scale network ing concepts with AI infrastructure (data center / compute) Experience with deep learning, data science, and NVIDIA GPUs. Experience in two or more data estate workloads such as: Microsoft’s Data & AI Platform (Azure Synapse Analytics, Azure Databricks, CosmosDB , Azure SQL or HDInsight, etc.), AWS (Redshift, Aurora, Glue), Google ( BigQuery ), MongoDB, Cassandra, Snowflake, Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), Apache Hadoop & Spark, MapR or Cloudera/Hortonworks, etc. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Why Cisco #WeAreCisco. We are all unique, but collectively we bring our talents to work as a team, to develop innovative technology and power a more inclusive, digital future for everyone. How do we do it? Well, for starters – with people like you! Nearly every internet connection around the world touches Cisco. We’re the Internet’s optimists. Our technology makes sure the data traveling at light speed across connections does so securely, yet it’s not what we make but what we make happen which marks us out. We’re helping those who work in the health service to connect with patients and each other; schools, colleges, and universities to teach in even the most challenging of times. We’re helping businesses of all shapes and sizes to connect with their employees and customers in new ways, providing people with access to the digital skills they need and connecting the most remote parts of the world – whether through 5G, or otherwise. We tackle whatever challenges come our way. We have each other’s backs, we recognize our accomplishments, and we grow together. We celebrate and support one another – from big and small things in life to big career moments. And giving back is in our DNA (we get 10 days off each year to do just that). We know that powering an inclusive future starts with us. Because without diversity and a dedication to equality, there is no moving forward. Our 30 Inclusive Communities, that bring people together around commonalities or passions, are leading the way. Together we’re committed to learning, listening, caring for our communities, whilst supporting the most vulnerable with a collective effort to make this world a better place either with technology, or through our actions. So, you have colorful hair? Don’t care. Tattoos? Show off your ink. Like polka dots? That’s cool. Pop culture geek? Many of us are. Passion for technology and world changing? Be you, with us! #WeAreCisco Show more Show less

Datastage JD:- Requirements Around 8-10 years of experience in Data Warehousing specialized in ETL. Thorough understanding of DWH Concepts. Strong experience in DataStage, SQL (Teradata), Unix Scripting, Python and scheduling using Control-M. Hands-on experience in DevOps tools and familiar with the CI/CD pipeline. Should have proficiency in using JIRA and Confluence and experienced in working in projects that have followed Agile methodologies. This individual should be able to design robust, secure, scalable, highly available, and dynamic solutions to drive business objectives using both on-prem and google cloud platform (GCP). Roles & Responsibilities Responsible for performing system development work around ETL, which can include both the development of new function and facilities, and the on-going systems support of live systems. Responsible for the documentation, coding, and maintenance of new and existing Extract, Transform, and Load (ETL) processes within the Enterprise Data Warehouse. Investigate live systems faults, diagnose problems, and propose and provide solutions. Work closely with various teams to design, build, test, deploy and maintain insightful MI reports. Interact with local and global business analysts, project managers, technical architects and developers, detailing the design and driving quality end-to-end solutions. Support System Acceptance Testing, System Integration and Regression Testing. Participate in design workshop, review/ensure the technical design/code structure is technically coherent and future proof and compliance with technology standards and regulatory obligations. Identify any issues that may arise to delivery risk, formulate preventive actions or corrective measures, and timely escalate major project risks & issues to service owner. Execute test cases and log defects. Should be proactive in understanding the existing system, identifying areas for improvement, and taking ownership of assigned tasks. Ability to work independently with minimal supervision while ensuring timely delivery of tasks Show more Show less

Data Engineering Lead Analyst - HIH - Evernorth About Evernorth: Evernorth Health Services, a division of The Cigna Group (NYSE: CI), creates pharmacy, care, and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention, and treatment of illness and disease more accessible to millions of people. POSITION SUMMARY: The Data Engineering Lead Analyst will be a key contributor to ensure the successful delivery of ETL Production Services and Application Support. To be successful in this role, you must understand ETL processes and be experienced in supporting Production Services applications. You must also have excellent communication skills and be able to build and maintain relationships with both internal and external stakeholders. They will be responsible for partnering with key players in Customer Service, Client Service, Provider Service, and Workforce Planning, while drawing on support from Technology, Finance, Strategy, Operational Readiness, and Solutions Delivery. ESSENTIAL FUNCTIONS: Production support activities such as trouble shooting, operational efficiencies, release management, etc. Develop SSIS code, steward existing ETL jobs, manage DB space and tune queries. Provide support for defect resolution and triage. Participate in proof of concepts for software tools/technologies related to application or process development. Provide support on CI/CD pipelines and automation. Ultimately responsible for maintaining solutions and maintain documentation related to production systems, including standard operating procedures, and troubleshooting guides. QUALIFICATIONS: Experience in Production support role. Performance Tuning and optimizing experience of SQL, PL/SQL code to reduce execution time or improve efficiency. Hands-on experience in SSIS, SQL Server, Oracle, and SQL. Experience with scheduling tools such as CA Workload Automation. Strong understanding of database concepts and experience with query optimization and performance tuning. Excellent troubleshooting and problem-solving skills, with the ability to analyze complex issues and implement effective solutions. Strong communication and interpersonal skills, with the ability to work collaboratively in a fast-paced environment. Primary Skills: SSIS, SQL (SQL Server, Oracle, Teradata) Job Scheduling (Airflow, DAG, Control M, etc.) Performance Tuning, Site Reliability Engineering, Issue Resolution Python, DevOps, Basic Cloud Experience (AWS/Azure/GCP) Additional Skills: Databricks, Cloud Certification (AWS Cloud Practitioner or similar), Apache Spark About Evernorth Health Services

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data & AI Strategy - Associate Director, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Associate Director – Data & AI Strategy. The main objective of the role is to develop and articulate a comprehensive and forward-looking Data & AI strategy that aligns with the overall business strategy and objectives. Translate business needs and opportunities into actionable data and AI initiatives. Develop and execute a roadmap for AI adoption and implementation across the organization. Identify and evaluate emerging AI technologies and their potential business applications. The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data & AI Key Skills Strong understanding of data concepts, including data warehousing, data mining, data quality, and data governance. Familiarity with AI/ML concepts, algorithms, and applications (e.g., machine learning, deep learning, natural language processing). Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills And Attributes For Success 15-17 years of total experience with 10+ years in Data Strategy and architecture field 15-17 years of total experience with 7+ years in AI Strategy & implementation. Strong knowledge of data architecture, data models and cutover strategies using industry standard tools and technologies Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) Solid hands-on 10+ years of professional experience with creation and implementation of data science engagements and helping create AI/ML products Proven track record of implementing machine-learning solutions, development in multiple languages and statistical analysis 7+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 7+ years hands-on experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modeling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 15 to 17 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Informatica Intelligent Cloud Service (IICS) – Cloud Data Integration Service Consultant The position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. The individual will need to be adaptive and able to react quickly to changing business needs. Work you’ll do IICS Cloud Data Integration Service Developer: The IICS Cloud Data Integration Service Developer / Designer will be responsible for design & development of IICS Cloud Data Integration Service s using Data Synchronization Service (DSS), Data Replication Service (DRS), Mappings, Mapping Tasks and Task Flows Contribute to architecture and configuration management to ensure solutions are aligned with architecture and business objectives Design and implement IICS Cloud Data Integration framework for end to end integration solution involving various services and advanced SQL queries Develop and implement audit, monitoring, backup and archival solutions as a part of integration process to support customer requirements Debug and troubleshoot any performance, data issues or errors in mappings Create high-quality code leveraging the latest frameworks and guidelines Proactive participation in design meetings and daily status updates Create test scripts and execute the unit, module and system test for ETL processes and the resulting data contents Create detailed documents in adherence to the SDLC standards ensuring timely submission of different documents for approvals across different stages of project implementation Qualifications Required: Education: Bachelors/Master’s degree in Computer Science / MCA / M.Sc / MBA 3-6 years of experience in implementation of Data-warehouse/BI solutions Preferred: Should have strong problem solving and analytical capabilities Should be well versed with Data Integration and Data Warehousing concepts Should have development hands-on experience in core IICS Cloud Data Integration service components like Data Synchronization Service (DSS), Data Replication Service (DRS), Mappings, Mapping Tasks and Task Flows Should have worked in at least one RDBMS like Oracle, Teradata, SQL Server, DB2.Shell scripting in Linux/Unix environment is mandatory Should have good understanding of IICS Architecture, advanced transformations like Hierarchy Builder, JSON/XML parser, Mapplet, Rank, Union, SQL Should have good understanding of IICS parameterization, Rest API, Exception and Error handling methods and debugging Performance Improvement skills on IICS and RDBMS is desirable. Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing. Should have participated in at least 1 end-to-end data integration implementation for a cloud-based application like Salesforce.com, Redshift, Snowflake Datawarehouse, etc. Shell scripting in Linux/Unix environment is mandatory Performance Improvement skills on Informatica / RDBMS is desirable. Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing. Should be able to understand both ER and Dimensional models Should be self-starter in solution implementation with inputs from design documents Preferable to have experience to automation and scheduling tools Candidate should possess good communication Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300109 Show more Show less

Summary Position Summary Strategy & Analytics AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements Informatica Intelligent Cloud Service (IICS) – Cloud Data Integration Service The position is suited for individuals who have the ability to work in a constantly challenging environment and deliver effectively and efficiently. The individual will need to be adaptive and able to react quickly to changing business needs. Work you’ll do IICS Cloud Data Integration Service Developer: The IICS Cloud Data Integration Service Developer / Designer will be responsible for design & development of IICS Cloud Data Integration Service s using Data Synchronization Service (DSS), Data Replication Service (DRS), Mappings, Mapping Tasks and Task Flows Contribute to architecture and configuration management to ensure solutions are aligned with architecture and business objectives Design and implement IICS Cloud Data Integration framework for end to end integration solution involving various services and advanced SQL queries Develop and implement audit, monitoring, backup and archival solutions as a part of integration process to support customer requirements Debug and troubleshoot any performance, data issues or errors in mappings Create high-quality code leveraging the latest frameworks and guidelines Proactive participation in design meetings and daily status updates Create test scripts and execute the unit, module and system test for ETL processes and the resulting data contents Create detailed documents in adherence to the SDLC standards ensuring timely submission of different documents for approvals across different stages of project implementation Qualifications Required: Education: Bachelors/Master’s degree in Computer Science / MCA / M.Sc / MBA 6-9 years of experience in implementation of Data-warehouse/BI solutions Preferred: Should have strong problem solving and analytical capabilities Should be well versed with Data Integration and Data Warehousing concepts Should have development hands-on experience in core IICS Cloud Data Integration service components like Data Synchronization Service (DSS), Data Replication Service (DRS), Mappings, Mapping Tasks and Task Flows Should have worked in at least one RDBMS like Oracle, Teradata, SQL Server, DB2.Shell scripting in Linux/Unix environment is mandatory Should have good understanding of IICS Architecture, advanced transformations like Hierarchy Builder, JSON/XML parser, Mapplet, Rank, Union, SQL Should have good understanding of IICS parameterization, Rest API, Exception and Error handling methods and debugging Performance Improvement skills on IICS and RDBMS is desirable. Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing. Should have participated in at least 1 end-to-end data integration implementation for a cloud-based application like Salesforce.com, Redshift, Snowflake Datawarehouse, etc. Shell scripting in Linux/Unix environment is mandatory Performance Improvement skills on Informatica / RDBMS is desirable. Should have participated in different kinds of testing like Unit Testing, System Testing, User Acceptance Testing. Should be able to understand both ER and Dimensional models Should be self-starter in solution implementation with inputs from design documents Preferable to have experience to automation and scheduling tools Candidate should possess good communication Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Requisition code: 300114 Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data Strategy - Manager, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Manager - Data Strategy. The main objective of the role is to develop and articulate a clear and concise data strategy aligned with the overall business strategy. Communicate the data strategy effectively to stakeholders across the organization, ensuring buy-in and alignment. Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management activities, including data acquisition, integration, transformation, and storage. Develop and implement data quality frameworks and processes.The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data Strategy Key Skills Strong understanding of data models (relational, dimensional), data warehousing concepts, and cloud-based data architectures (AWS, Azure, GCP). Proficiency in data analysis techniques (e.g., SQL, Python, R), statistical modeling, and data visualization tools. Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases. Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills And Attributes For Success 10-12 years of total experience with 8+ years in Data Strategy and Architecture field Solid hands-on 6+ years of professional experience with designing and architecting of data warehouses/ data lakes on client engagements and helping create enhancements to a data warehouse Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) 5+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 5+ years experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modelling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 12 to 14 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less