1346 Teradata Jobs - Page 2

About This Role Wells Fargo is seeking an Analytics Consultant. In This Role, You Will Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Excellent verbal, written, and interpersonal communication skills. Strong knowledge of Enterprise Risk programs and applicability of risk management framework (3 Line of defense) Experience identifying internal and external data sources from multiple sources across the business Experience with SQL, Teradata, or SAS and Database Management systems like Teradata and MS SQL Server. Experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk). Experience in data visualization and business intelligence tools. Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills Demonstrated strong analytical skills with high attention to detail and accuracy. Strong presentation skills and ability to translate and present data in a manner that educates, enhances understanding, and influence decisions, bias for simplicity Strong writing skills - proven ability to translate data sets and conclusions drawn from analysis into business/executive format and language Ability to support multiple projects with tight timelines Meta Data management, Data Lineage, Data Element Mapping, Data Documentation experience. Experience researching and resolving data problems and working with technology teams on remediation of data issues Hands-on proficiency with Python, Power BI (Power Query, DAX, Power apps), Tableau, or SAS Knowledge of Defect management tools like HP ALM. Knowledge of Data Governance. Job Expectations: Ensure adherence to data management or data governance regulations and policies Extract and analyze data from multiple technology systems/platforms and related data sources to identify factors that pose a risk to the firm. Consult with business line and enterprise functions on less complex research Understand compliance and risk management requirements for sanctions compliance and data management Perform analysis of findings and trends using statistical analysis and document process Require a solid background in reporting, understanding and utilizing Relational Databases and Data Warehouses, and be effective in querying and reporting large and complex data sets. Excel at telling stories with data, presenting information in visually compelling ways that appeal to executive audiences, and will be well versed in the development and delivery of reporting solutions. Responsible for building easy to use visualization and perform data analysis to generate meaningful business insights using complex datasets for global stakeholders. Responsible for testing key reports and produce process documentation. Present recommendations to maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Posting End Date: 31 Jul 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-474846

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

Company Profile: At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Senior Software Engineer - Data Analyst Position: Senior Software Engineer - Data Analyst Experience: 3 to 6 Years Main location: India, Telangana, Hyderabad Position ID: J0525-1616 Shift: General Shift (5 Days WFO for initial 8 weeks) Employment Type: Full Time Your future duties and responsibilities Design, develop, and optimize complex SQL queries for data extraction, transformation, and loading (ETL). Work with Teradata databases to perform high-volume data analysis and support enterprise-level reporting needs. Understand business and technical requirements to create and manage Source to Target Mapping (STM) documentation. Collaborate with business analysts and domain SMEs to map banking-specific data such as transactions, accounts, customers, products, and regulatory data. Analyze large data sets to identify trends, data quality issues, and actionable insights. Participate in data migration, data lineage, and reconciliation processes. Ensure data governance, quality, and security protocols are followed. Support testing and validation efforts during system upgrades or new feature implementations. Required qualifications to be successful in this role Advanced SQL – Joins, subqueries, window functions, performance tuning. Teradata – Query optimization, utilities (e.g., BTEQ, FastLoad, MultiLoad), DDL/DML. Experience with ETL tools (e.g., Informatica, Talend, or custom SQL-based ETL pipelines). Hands-on in preparing STM (Source to Target Mapping) documents. Familiarity with data modeling and data warehouse concepts (star/snowflake schema). Proficient in Excel and/or BI tools (Power BI, Tableau, etc.) for data visualization and analysis. Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

Join us to lead technology support in a dynamic environment, enhancing your career with growth opportunities. Job Summary As a Technology Support Lead at JPMorgan Chase within the Consumer & Community Banking division, you will play a pivotal leadership role in maintaining the operational stability, availability, and performance of our production services. Your responsibilities will include identifying, troubleshooting, and resolving issues to guarantee a seamless user experience. Job Responsibilities Provide end-to-end application and infrastructure service delivery for successful business operations. Execute policies and procedures ensuring engineering and operational stability. Monitor production environments for anomalies and address issues using standard observability tools. Escalate and communicate issues and solutions to business and technology stakeholders. Lead incident, problem, and change management in support of full stack technology systems. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and 3+ years applied experience Proficiency on AWS Cloud Platform, with system design, application development, testing, and operational stability. Hands-on experience with infrastructure as code tools, such as Terraform and Helm chart. Experience in designing, deploying, and managing Kubernetes clusters across various environments. Minimum 4+ years of experience in Kubernetes, Terraform, Python, and Shell scripting technologies. Experience with Continuous Integration and Delivery tools like Jenkins. Preferred Qualifications, Capabilities, and Skills Ability to lead by example and guide the team with technical expertise. Ability to identify risks/issues for the project and manage them accordingly. Experience with PostgreSQL, AWS RDS, Aurora, or Teradata preferred.

About this role: Wells Fargo is seeking an Analytics Consultant. In this role, you will: Consult with business line and enterprise functions on less complex research Use functional knowledge to assist in non-model quantitative tools that support strategic decision making Perform analysis of findings and trends using statistical analysis and document process Present recommendations to increase revenue, reduce expense, maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Participate in all group technology efforts including design and implementation of database structures, analytics software, storage, and processing Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Understand compliance and risk management requirements for supported area Ensure adherence to data management or data governance regulations and policies Participate in company initiatives or processes to assist in meeting risk and capital objectives and other strategic goals Collaborate and consult with more experienced consultants and with partners in technology and other business groups Required Qualifications: 2+ years of Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Experience in Analytics, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education. Excellent verbal, written, and interpersonal communication skills. Strong knowledge of Enterprise Risk programs and applicability of risk management framework (3 Line of defense) Experience identifying internal and external data sources from multiple sources across the business Experience with SQL, Teradata, or SAS and Database Management systems like Teradata and MS SQL Server. Experience in risk (includes compliance, financial crimes, operational, audit, legal, credit risk, market risk). Experience in data visualization and business intelligence tools. Advanced Microsoft Office (Word, Excel, Outlook and PowerPoint) skills Demonstrated strong analytical skills with high attention to detail and accuracy. Strong presentation skills and ability to translate and present data in a manner that educates, enhances understanding, and influence decisions, bias for simplicity Strong writing skills - proven ability to translate data sets and conclusions drawn from analysis into business/executive format and language Ability to support multiple projects with tight timelines Meta Data management, Data Lineage, Data Element Mapping, Data Documentation experience. Experience researching and resolving data problems and working with technology teams on remediation of data issues Hands-on proficiency with Python, Power BI (Power Query, DAX, Power apps), Tableau, or SAS Knowledge of Defect management tools like HP ALM. Knowledge of Data Governance. Job Expectations: Ensure adherence to data management or data governance regulations and policies Extract and analyze data from multiple technology systems/platforms and related data sources to identify factors that pose a risk to the firm. Consult with business line and enterprise functions on less complex research Understand compliance and risk management requirements for sanctions compliance and data management Perform analysis of findings and trends using statistical analysis and document process Require a solid background in reporting, understanding and utilizing Relational Databases and Data Warehouses, and be effective in querying and reporting large and complex data sets. Excel at telling stories with data, presenting information in visually compelling ways that appeal to executive audiences, and will be well versed in the development and delivery of reporting solutions. Responsible for building easy to use visualization and perform data analysis to generate meaningful business insights using complex datasets for global stakeholders. Responsible for testing key reports and produce process documentation. Present recommendations to maximize operational efficiency, quality, and compliance Identify and define business requirements and translate data and business needs into research and recommendations to improve efficiency Develop customized reports and ad hoc analyses to make recommendations and provide guidance to less experienced staff Posting End Date: 31 Jul 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: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Role: Partner with stakeholders to understand data requirements Developing business intelligence solutions using Agile software development methodologies Develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization and leadership Producing and managing the delivery of activity and value analytics to external stakeholders and clients Team members will typically use business intelligence, data visualization, and query, analytic and statistical software to build solutions, perform analysis and interpret data Work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms Primary Responsibilities: Management and manipulation of mostly structured data Creating business intelligence solutions using Agile methodologies to support analysis of data and subsequent decision making Conducting analysis, performing normalization operations and assuring data quality Creating specifications to bring data into a common structure Creating product specifications and reporting models Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; design workflows and procedures Establish, refine and integrate development and test environment tools and software as needed Identify production and non-production application issues Provide technical support and consultation on database and infrastructure questions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor’s Degree in MIS, Statistics, Mathematics, Computer Science, Business or a related field 5+ years of experience in data preparation, data management, data visualization and data analysis 5+ years of experience in DWBI domain and solid understanding of DWBI concepts 5+ years of experience in PowerBI 2+ years of experience in Python 2+ years of experience working on machine learning algorithms and frameworks 2+ years of experience in natural language processing 2+ years of experience in applying AI to practical and comprehensive technology solutions Hands-on experience in DWBI domain Hands-on experience in Python Hands-on experience with dealing global customers to gather requirements and translate them into solutions using the necessary skills Extensive on-the job experience working with relational database management system (like Microsoft SQL Server, Oracle) Experience in writing TSQL statements, stored procedures and views using industry best practices for security and efficiency Experience in creating data reports, dashboards, scorecards and Metrics that matter most with extensive use of PowerBI Experience in performing data analysis and interpreting data/business insights Experience developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership Experience in ETL and hands-on experience in using ETL tools like SSIS Experience and understanding on Database Performance Tuning, Database Management, Requirements Analysis, Software Development Fundamentals Familiar with Software Development Life Cycle Proven excellent Problem Solving, Documentation Skills, Written & Verbal Communication skills Proven excellent Data Maintenance and promoting Process Improvement skills Proven well-developed written and verbal communications and presentation skills Proven to be open for Development and Support Proven ability to write user and technical documentation Proven ability to conduct analysis to ensure quality of data at various stages of its evolution Proven ability to solve complex problems and develop innovative solutions Proven ability to complete projects that require data mining, analysis, and presentation Proven ability to create, test and execute SQL language code Proven ability to work independently with minimum support/mentoring Proven ability to learn new technology Preferred Qualifications: Experience in the health care industry Hands-on experience on ETL processes using SSIS, Netezza, Teradata etc. Experience with ML, deep learning, TensorFlow, NLP Experience in Snowflake Experience developing and maintaining data preparation and validation routines to support data mining and creating complex data mining algorithms General: This is a high visibility role requiring high energy due to the constant interaction with the customers. It’s good to have a candidate who has the below abilities: Self-driven, ability to work independently and facilitate change Ability to work in a fast-paced, technical, cross-functional environment Excellent Visual design sense regarding clear and accurate presentation of data Ability to work on projects from inception to completion Excellent critical thinking and analytical skills Ability to maintain understanding of numerous client processes Possess excellent time management and prioritization skills in order to meet multiple deadlines Comfortable working in a high-paced/high production area Desire and ability to learn new skills, systems and processes Anticipate customer needs and proactively develop solutions to meet them At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work. SM Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Technical Support Engineer Job Summary The Technical Support Engineer (TSE) acts as an SME for a book of enterprise accounts. The TSE is responsible for answering all technical questions within both standard and custom deployment environments and assisting with supported LTS upgrades. The TSE is also responsible for peer training and development, personal continued education, and contributing to our reference documentation. They will coordinate closely with Support leadership, Engineering, Product and Accounts teams to ensure our customers receive a value driven enterprise experience. A TSE is able to work independently, with minimal guidance, and demonstrates an expert degree of proficiency in both SEP and Galaxy. Responsibilities ● Technical Support: ○ Provide support for standard and custom deployments ○ Answer break/fix and non-break/fix technical questions through SFDC ticketing system ○ Efficiently reproduce reported issues by leveraging tools (minikube, minitrino, docker-compose, etc.), identify root causes, and provide solutions ○ Open SEP and Galaxy bug reports in Jira and feature requests in Aha! ● LTS Upgrades: ○ Provide upgrade support upon customer request ■ Customer must be on a supported LTS version at the time of request ■ TSE must communicate unsupported LTS requests to the Account team as these require PS services ● Monthly Technical check-ins ○ Conduct regularly scheduled technical check-ins with each BU ■ Discuss open support tickets, provide updates on product bugs and provide best practice recommendations based on your observations and ticket trends ■ Responsible for ensuring customer environments are on supported LTS versions ● Knowledge Sharing/Technical Enablement: Knowledge exchange and continued technical enablement are crucial for the development of our team and the customer experience. It's essential that we keep our product expertise and documentation current and that all team members have access to information. ○ Contribute to our reference documentation ○ Lead peer training ○ Consultant to our content teams ○ Own your personal technical education journey ● Project Involvement ○ Contribute to or drive components of departmental and cross functional initiatives ● Partner with Leadership ○ Identify areas of opportunity with potential solutions for inefficiencies or obstacles within the team and cross-functionally ○ Provide feedback to your manager on continued ed. opportunities, project ideas, etc. Requirements ● 5+ years of support experience ● 3+ years of Big Data, Docker, Kubernetes and cloud technologies experience Skills ● Big Data (Teradata, Hadoop, Data Lakes, Spark) ● Docker and Kubernetes ● Cloud technologies (AWS, Azure, GCP) ● Security - Authentication (LDAP, OAuth2.0) and Authorization technologies ● SSL/TLS ● Linux Skills ● DBMS Concepts/SQL Exposure Languages: SQL, Java, Python, Bash Job Type: Full-time Pay: ₹1,200,000.00 - ₹1,800,000.00 per year Benefits: Cell phone reimbursement Health insurance Internet reimbursement Paid sick time Provident Fund Work Location: In person

Job Description Some careers have more impact than others. If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. HSBC is one of the largest banking and financial services organizations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions. We are currently seeking an experienced professional to join our team in the role of DECISION SCIENCE JUNIOR ANALYST Principal Responsibilities To support the Business by providing vital input for strategic planning by the senior management which enables effective decision making along with addressing unforeseen challenges. The team leverages the best of data and analytics capabilities to enable smarter decisions and drive profitable growth. The team supports various domains ranging from Regulatory, Operations, Procurement, Human Resources, and Financial Crime Risk. It provides support to various business groups and the job involves data analysis, model and strategy development & implementation, Business Intelligence, reporting and data management The team addresses range of business problems which cover areas of business growth, improving customer experience, limiting risk exposure, capital quantification, enhancing internal business processes etc. Proactively identify key emerging compliance risks across all RC categories and interface appropriately with other RC teams and senior management. To provide greater understanding of the potential impact and associated consequences / failings of significant new or emerging risks. & provide innovative and effective solutions based on SME knowledge that assists the Business / Function. Proposing, managing and tracking the resolution of subsequent risk management actions. Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities. Against this period of considerable regulatory change and development, and as regulators develop their own understanding of compliance risk management, the role holder must maintain a strong knowledge and understanding of regulatory development and the evolution of the compliance risk framework, risk appetite and risk assessment methodology. Deliver repeatable and scalable analytics through the semi-automation of L1 Financial Crime Risk and Regulatory Compliance Risk Assurance controls testing. Here, Compliance Assurance will develop and run analytics on data sets which will contain personal information such as customer and employee data. Requirements Bachelor’s degree from reputed university in statistics, economics or any other quantitative fields. Fresher with educational background relevant in Data Science or certified in Data science courses 1-4 years of Experience in the field of Automation & Analytics Worked on Proof of Concept or Case study solving complex business problems using data Strong analytical skills with business analysis experience or equivalent. Basic knowledge and understanding of financial-services/ banking-operations is a good to have. Delivery focused, demonstrating an ability to work under pressure and within tight deadlines Basic knowledge of working in Python and other Data Science Tools & in visualization tools such as QlikSense/Other visualization tools. Experience in SQL/ETL tools is an added advantage. Understanding of big data tools: Teradata, Hadoop, etc & adopting cloud technologies like GCP/AWS/Azure is good to have Experience in data science and other machine learning algorithms (For e.g.- Regression, Classification) is an added advantage Basic knowledge in Data Engineering skills – Building data pipelines using modern tools / libraries (Spark or similar) You’ll achieve more at HSBC HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.” Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website. Issued By HSBC Electronic Data Processing (India) Private LTD***

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.

Company Description Making Trade Happen Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses. With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services. As a close-knit, international organisation at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural. Every day, our teams are making trade happen. Join us! Job Description MISSION : We are seeking an experienced and highly motivated professional to join our team in a role focused on stakeholder management, Power BI dashboard development, and data analysis. The ideal candidate will collaborate with cross-functional teams to address data needs, develop actionable insights through advanced Power BI dashboards, and manage complex data landscapes. Key responsibilities include designing and maintaining Power BI reports, ensuring data accuracy, conducting in-depth analysis to identify trends, and presenting findings to senior stakeholders. The role also requires strong communication skills to translate complex technical concepts into clear, actionable insights for non-technical stakeholders. Main Responsibilities Key Requirements: Proficiency in Power BI, data visualization, and coding. Strong analytical skills and ability to synthesize insights from large, complex datasets. Experience managing stakeholder expectations and providing training on BI tools. Transform complex data into easily understandable insights Create multi-dimensional data models that are well-adjusted data warehousing practices. Execute security at the row level in the Power BI application with an apt understanding of the application security layer models. Data visualization using best practices with high end-user focus Qualifications Technical Skills : 5-10 years of overall experience in software development 5+ years of dedicated experience in Power BI Well versed with all BI and DWH (Data Ware Housing) concepts and architecture Experience in working with clients in the APAC region preferably in Insurance industry Familiarity with the tools and technologies used by the Microsoft SQL Server BI Stack, including SSRS and TSQL, Power Query, MDX, PowerBI, and DAX. Power BI Technical Skills - Power BI Desktop & Service, Data Modeling (DAX & Relationships), Power Query (M Language), Data Visualization & UI Design, Paginated Reports (Power BI Report Builder), Power Automate Integration Data Skills – Oracle, SQL, Data Warehousing, Data Cleansing & Transformation Business & Analytical Skills -Requirement Gathering, Data Storytelling, KPI & Metrics Development Administration & Security - Row-Level Security (RLS), Power BI Service Administration Design, build, maintain, and map data models to process raw data from unrelated sources. Proficient in financial reporting through Power BI Strong knowledge of Oracle & SQL and relational databases. Expertise of SQL queries, SSRS, and SQL Server Integration Services (SSIS) In-depth understanding of the overall development process for listed tools: Data extraction from various data sources (like SAP ERP, SAP BW, Oracle, Teradata, Snowflake) Knowledge on Scripts to import data from databases, flat files, log files. Understanding of general accounting principles and financial reporting Additional Information Flexible working model: After the 1st month Great place to work: central and brand-new offices Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program… Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field Health care:

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 SME’s 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.

Ignite the Future of Language with AI at Teradata! What You'll Do: Shape the Way the World Understands Data At Teradata, we're not just managing data; we're unleashing its full potential. Our ClearScape Analytics™ platform and pioneering Enterprise Vector Store are empowering the world's largest enterprises to derive unprecedented value from their most complex data. We're rapidly pushing the boundaries of what's possible with Artificial Intelligence, especially in the exciting realm of autonomous and agentic systems We’re building intelligent systems that go far beyond automation — they observe, reason, adapt, and drive complex decision-making across large-scale enterprise environments. As a member of our AI engineering team, you’ll play a critical role in designing and deploying advanced AI agents that integrate deeply with business operations, turning data into insight, action, and measurable outcomes. You’ll work alongside a high-caliber team of AI researchers, engineers, and data scientists tackling some of the hardest problems in AI and enterprise software — from scalable multi-agent coordination and fine-tuned LLM applications, to real-time monitoring, drift detection, and closed-loop retraining systems. If you're passionate about building intelligent systems that are not only powerful but observable, resilient, and production-ready, this role offers the opportunity to shape the future of enterprise AI from the ground up. We are seeking a highly skilled Senior AI Engineer to drive the development and deployment of Agentic AI systems with a strong emphasis on AI observability and data platform integration. You will work at the forefront of cutting-edge AI research and its practical application—designing, implementing, and monitoring intelligent agents capable of autonomous reasoning, decision-making, and continuous learning. Who You'll Work With: Join Forces with the Best Imagine collaborating daily with some of the brightest minds in the company – individuals who champion diversity, equity, and inclusion as fundamental to our success. You'll be part of a cohesive force, laser-focused on delivering high-quality, critical, and highly visible AI/ML functionality within the Teradata Vantage platform. Your insights will directly shape the future of our intelligent data solutions. You'll report directly to the inspiring Sr. Manager, Software Engineering, who will champion your growth and empower your contributions. What Makes You a Qualified Candidate: Skills in Action Architect and implement Agentic AI systems capable of multi-step reasoning, tool use, and autonomous task execution. Build and maintain AI observability pipelines to monitor agent behavior, decision traceability, model drift, and overall system performance. Design and develop data platform components that support real-time and batch processing, data lineage, and high-availability systems for AI training and inference workflows. Integrate LLMs and multi-modal models into robust AI agents using frameworks like LangChain, OpenAI, Hugging Face, or custom stacks. Collaborate with product, research, and MLOps teams to ensure smooth integration between AI agents and user-facing applications Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance. Implement safeguards, feedback loops, and evaluation metrics to ensure AI safety, reliability, and compliance. Passion for staying current with AI research, especially in the areas of reasoning, planning, and autonomous systems. You are an excellent backend engineer who codes daily and owns systems end-to-end. Strong engineering background (Python/Java/Golang, API integration, backend frameworks) Strong system design skills and understanding of distributed systems. You’re obsessive about reliability, debuggability, and ensuring AI systems behave deterministically when needed. Hands-on experience with Machine learning & deep learning frameworks: TensorFlow, PyTorch, Scikit-learn Hands-on experience with LLMs, agent frameworks (LangChain, AutoGPT, ReAct, etc. ), and orchestration tools. Experience with AI observability tools and practices (e. g. , logging, monitoring, tracing, metrics for AI agents or ML models). Solid understanding of model performance monitoring, drift detection, and responsible AI principles. What You Bring: Passion and Potential A Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field – your academic foundation is key. A genuine excitement for AI and large language models (LLMs) is a significant advantage – you'll be working at the cutting edge! Design, develop, and deploy agentic systems integrated into the data platform. 5+ years of experience in software architecture, backend systems, or AI infrastructure. Strong experience with LLMs, transformers, and tools like OpenAI API, Anthropic Claude, or open-source LLMs. Deep understanding of AI observability (e. g. , tracing, monitoring, model explainability, drift detection, evaluation pipelines). Build dashboards and metrics pipelines to track key AI system indicators: latency, accuracy, tool invocation success, hallucination rate, and failure modes. Integrate observability tooling (e. g. , OpenTelemetry, Prometheus, Grafana) with LLM-based workflows and agent pipelines. Familiarity with modern data platform architecture Strong background in distributed systems, microservices, and cloud platforms (AWS, GCP, Azure). Experience in software development (Python, Go, or Java preferred). Familiarity with backend service development, APIs, and distributed systems. Familiarity with containerized environments (Docker, Kubernetes) and CI/CD pipelines. Bonus: Research experience or contributions to open-source agentic frameworks. You're knowledgeable about open-source tools and technologies and know how to leverage and extend them to build innovative solutions. Preferred Qualifications Experience with tools such as Arize AI, WhyLabs, Traceloop, or Prometheus + custom monitoring for AI/ML. Contributions to open-source agent frameworks or AI infra. Advanced degree (MS/PhD) in Computer Science, Artificial Intelligence, or related field. Experience working with multi-agent systems, real-time decision systems, or autonomous workflows. 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.

You should have at least 2 years of professional work experience in implementing data pipelines using Databricks and datalake. A minimum of 3 years of hands-on programming experience in Python within a cloud environment (preferably AWS) is necessary for this role. Having 2 years of professional work experience with real-time streaming systems such as Event Grid and Event topics would be highly advantageous. You must possess expert-level knowledge of SQL to write complex, highly-optimized queries for processing large volumes of data effectively. Experience in developing conceptual, logical, and/or physical database designs using tools like ErWin, Visio, or Enterprise Architect is expected. A minimum of 2 years of hands-on experience working with databases like Snowflake, Redshift, Synapse, Oracle, SQL Server, Teradata, Netezza, Hadoop, MongoDB, or Cassandra is required. Knowledge or experience in architectural best practices for building data lakes is a must for this position. Strong problem-solving and troubleshooting skills are necessary, along with the ability to make sound judgments independently. You should be capable of working independently and providing guidance to junior data engineers. If you meet the above requirements and are ready to take on this challenging role, we look forward to your application. Warm Regards, Rinka Bose Talent Acquisition Executive Nivasoft India Pvt. Ltd. Mobile: +91-9632249758 (INDIA) | 732-334-3491 (U.S.A) Email: rinka.bose@nivasoft.com | Web: https://nivasoft.com/,

Genpact is a global professional services and solutions firm committed to delivering outcomes that shape the future. With a team of over 125,000 professionals spanning across 30+ countries, we are fueled by curiosity, agility, and the aspiration to create enduring value for our clients. Our purpose, the relentless pursuit of a world that works better for people, drives us to serve and transform leading enterprises, including the Fortune Global 500. We leverage our deep business and industry expertise, digital operations services, and proficiency in data, technology, and AI to drive impactful change. We are currently seeking applications for the position of Assistant Manager - SQL Developer. Responsibilities: - Demonstrated strong proficiency in SQL with relevant experience and the ability to optimize large, complex SQL statements - Capable of planning requirements based on high-level specifications - Proficient in utilizing code versioning tools, managing server resources efficiently, and optimizing performance - Familiarity with the practical application of Python and its integration with SQL - Building, scheduling, monitoring jobs, and troubleshooting issues on Snowflake - Knowledge of ETL processes - Effective communication, adaptability, and collaborative skills Qualifications we seek in you: Minimum Qualifications: - Experience in developing MS-SQL queries and procedures - Ability to create custom reports and modify ERP user forms to enhance organizational productivity and implement automation Skills Needed: - Informatica - Teradata Preferred Qualifications: - Snowflake - Control M - SQL - Python Location: India-Hyderabad Schedule: Full-time Education Level: Bachelor's / Graduation / Equivalent Job Posting: Jan 10, 2025, 3:00:11 AM Unposting Date: Feb 9, 2025, 10:29:00 AM If you are passionate about working in a dynamic environment and possess the required skills and qualifications, we invite you to apply for this exciting opportunity.,

As an Analytics Consultant at Wells Fargo, you will have the opportunity to consult with business lines and enterprise functions on less complex research projects. Your role will involve utilizing your functional knowledge to assist in developing non-model quantitative tools that support strategic decision-making. You will be responsible for analyzing findings and trends using statistical analysis and documenting processes. In this position, you will play a key role in presenting recommendations aimed at increasing revenue, reducing expenses, maximizing operational efficiency, improving quality, and ensuring compliance. Your tasks will also include identifying and defining business requirements, translating data and business needs into research, and making recommendations to enhance efficiency. Additionally, you will participate in various group technology efforts, including the design and implementation of database structures, analytics software, storage, and processing. You will be involved in developing customized reports and ad hoc analyses to provide guidance to less experienced staff members. To excel in this role, you should have at least 2 years of Analytics experience or equivalent demonstrated through work experience, training, military service, or education. Knowledge of Conduct Management data, Tableau/PowerBI Reporting tools, SQL, Teradata, testing, quality assurance, SDLC, test automation using Python, and Agile methodology would be beneficial. Strong analytical skills with a high attention to detail and accuracy are essential for this position. You should also possess excellent presentation, communication, writing, and interpersonal skills. Experience in onshore/offshore support models, leveraging Jira tools for workflow and productivity management, and familiarity with ISTQB Certification are desirable qualifications. In summary, as an Analytics Consultant at Wells Fargo, you will play a critical role in conducting detailed analysis, providing recommendations for business improvement, ensuring compliance with regulations and policies, and collaborating with cross-functional teams to drive strategic goals and initiatives. Please note that the job posting may be closed early due to a high volume of applicants. Wells Fargo values diversity and encourages applications from all qualified candidates, including women, persons with disabilities, Aboriginal peoples, and visible minorities. Accommodations for applicants with disabilities are available upon request during the recruitment process. Candidates applying for job openings in Canada are encouraged to apply, and accommodations for applicants with disabilities are available upon request in connection with the recruitment process. If you require a medical accommodation during the application or interview process, please visit Disability Inclusion at Wells Fargo. Wells Fargo maintains a drug-free workplace, and third-party recordings are prohibited unless authorized by the company. Candidates are required to represent their own experiences directly during the recruiting and hiring process. Reference Number: R-405673,

As a Technical Program Manager specialized in Data Engineering & Analytics with 16-25 years of relevant experience, you will be responsible for leading large-scale and intricate initiatives related to Data, Business Intelligence (BI), and Artificial Intelligence/Machine Learning (AI/ML). Your role will involve managing complex programs, collaborating with clients, providing technical leadership, ensuring compliance with service level agreements and key performance indicators, and continuously improving processes for efficient service delivery. You will play a pivotal role in designing, developing, and implementing Data Engineering & Analytics solutions utilizing technologies such as Teradata, Google Cloud Data Platform (GCP), AI/ML, Qlik, and Tableau. Your responsibilities will include preparing operational and strategic reports, monitoring service performance, identifying areas for improvement, and proactively addressing issues and risks with appropriate mitigation plans. Moreover, you will be instrumental in fostering a culture of automation and innovation within the team to enhance service delivery performance. In addition to managing multi-functional teams and client relationships, you will also be involved in creating Statements of Work (SOW), proposals, solutions, and estimations for Data Analytics projects. Your expertise in E2E solution lifecycle management, modern data architecture, Cloud data modeling, SDLC, Agile methodologies, and team leadership will be essential for the success of Data Engineering and Management initiatives. Furthermore, your qualifications should include 15-20 years of experience in Data Warehousing, BI & Analytics, Data Management projects, with a focus on ETL, reporting, big data, and analytics. Experience in architecting, designing, and developing Data Engineering and Business Intelligence solutions, as well as working with data management tools like Data Quality, Metadata, Master Data, and Governance, will be highly valued. Additionally, experience in Cloud Data migration programs, value-driven innovation, and stakeholder management will be crucial for your role as a Technical Program Manager in Data Engineering & Analytics.,

As a Teradata Analyst at our company, you will leverage your 8+ years of experience to handle data analysis, ETL deployment, and Datawarehouse support using tools like Informatica Power center, SQL, Teradata, and Unix. Your primary responsibilities will include applying data analysis techniques, data modeling, and quality assurance methods to establish, modify, or maintain data structures and associated components. You will design, code, test, correct, and document complex programs or processes based on agreed specifications and standards to achieve well-engineered results. In this role, you will design and construct large ETL mappings, packages workflows, and deliver efficient and scalable Data Warehouse solutions in a high data growth environment. Your expertise in technology leadership with hands-on experience in Teradata and Informatica will be crucial. You should also have a strong understanding of data warehousing and ETL concepts, proficient skills in SQL and PL/SQL coding and scripting, and experience in requirement analysis and architecture design. Collaboration with onsite teams for requirement gathering, development, and testing will be part of your responsibilities. Your in-depth knowledge of Agile processes and principles will be beneficial in overseeing team activities related to coding, unit testing, system testing, and defect resolution. Excellent communication, presentation, organizational, and time management skills are essential for this role. In return, we offer a competitive salary and benefits package, a culture focused on talent development with quarterly promotion cycles, company-sponsored higher education, and certifications. You will have the opportunity to work with cutting-edge technologies and participate in employee engagement initiatives like project parties, flexible work hours, Long Service awards, and annual health check-ups. Insurance coverage including group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents is provided. At our company, we foster a values-driven and people-centric work environment that enables employees to accelerate both professional and personal growth, make a positive impact using the latest technologies, enjoy collaborative innovation, and unlock global opportunities to work and learn with the industry's best. Join us at Persistent to unleash your full potential and be part of an Equal Opportunity Employer that prohibits discrimination and harassment of any kind.,

As a MarkLogic Developer at Impetus Technologies, you will be responsible for day-to-day tasks related to MarkLogic development and maintenance. Your role will involve utilizing your proficiency in MarkLogic along with experience in databases such as SQL, Teradata, and Oracle. Strong programming skills are essential for this position, as well as a good understanding of database systems. The ability to work both independently and collaboratively within a team is key to success in this full-time on-site role located in Indore. Impetus Technologies is a leading company that combines expertise in cloud and data engineering to address the data, AI, and cloud challenges. They provide services in data platform engineering, AI/ML, DevOps, and application modernization, serving as a trusted partner for Fortune 500 enterprises to drive innovation and growth. Impetus's product, LeapLogic, automates the conversion of legacy data warehouse, ETL, analytics, and Hadoop workloads into cloud-native stacks. To learn more about LeapLogic, visit www.leaplogic.io. If you meet the qualifications mentioned above and are eager to contribute to a dynamic team focused on solving complex data puzzles, this role as a MarkLogic Developer at Impetus Technologies could be the perfect fit for you.,

You should have a Bachelor's or Master's degree in computer/data science or related field, or equivalent technical experience. With a minimum of 7 years of hands-on experience in relational, dimensional, and/or analytic data modeling. Your expertise should include a strong command of SQL and practical experience working with databases such as Oracle, PostgreSQL, Snowflake, and Teradata. Your responsibilities will involve hands-on activities like modeling, design, configuration, installation, performance tuning, and sandbox Proof of Concept (POC). Proficiency in metadata management, data modeling, and related tools such as Erwin or ER Studio is essential. You should be experienced in data modeling, ER diagramming, and designing enterprise software for OLTP (relational) and analytical systems. It is crucial that you possess a solid understanding of data modeling principles, standard methodologies, semantic data modeling concepts, and multi-Fact models. You must be capable of defining data modeling standards, guidelines, and assisting teams in implementing complex data-driven solutions at a large scale globally. Your experience should also include supporting history handling, time series data warehousing, and data transformations through data modeling activities. Additionally, you should have the ability to quickly comprehend technological and business concepts, key domain entities, and communicate effectively with engineers, architects, and product management teams. Your role will involve assessing the accuracy, completeness, and consistency of data models while ensuring the maintenance of relevant documentation. Experience with data cataloging tools like Alation and Collibra to drive data lineage is preferred. A strong understanding of data governance processes and metadata repositories is also expected. You should be comfortable working in a fast-paced environment with short release cycles and an iterative development methodology, handling multiple projects simultaneously with minimal specifications. Having knowledge of Python and experience with Informatica would be considered advantageous for this position. Your excellent communication and documentation skills will be essential in this role.,

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Role Partner with stakeholders to understand data requirements Developing business intelligence solutions using Agile software development methodologies Develop tools and models such as segmentation, dashboards, data visualizations, decision aids and business case analysis to support the organization and leadership Producing and managing the delivery of activity and value analytics to external stakeholders and clients Team members will typically use business intelligence, data visualization, and query, analytic and statistical software to build solutions, perform analysis and interpret data Work on predominately descriptive and regression-based analytics and tend to leverage subject matter expert views in the design of their analytics and algorithms Primary Responsibilities Management and manipulation of mostly structured data Creating business intelligence solutions using Agile methodologies to support analysis of data and subsequent decision making Conducting analysis, performing normalization operations and assuring data quality Creating specifications to bring data into a common structure Creating product specifications and reporting models Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses intuition and experience to complement data; design workflows and procedures Establish, refine and integrate development and test environment tools and software as needed Identify production and non-production application issues Provide technical support and consultation on database and infrastructure questions Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications Bachelor’s Degree in MIS, Statistics, Mathematics, Computer Science, Business or a related field 5+ years of experience in data preparation, data management, data visualization and data analysis 5+ years of experience in DWBI domain and solid understanding of DWBI concepts 5+ years of experience in PowerBI 2+ years of experience in Python 2+ years of experience working on machine learning algorithms and frameworks 2+ years of experience in natural language processing 2+ years of experience in applying AI to practical and comprehensive technology solutions Hands-on experience in DWBI domain Hands-on experience in Python Hands-on experience with dealing global customers to gather requirements and translate them into solutions using the necessary skills Extensive on-the job experience working with relational database management system (like Microsoft SQL Server, Oracle) Experience in writing TSQL statements, stored procedures and views using industry best practices for security and efficiency Experience in creating data reports, dashboards, scorecards and Metrics that matter most with extensive use of PowerBI Experience in performing data analysis and interpreting data/business insights Experience developing actionable insights and presenting recommendations for use across the internal/external stakeholder and leadership Experience in ETL and hands-on experience in using ETL tools like SSIS Experience and understanding on Database Performance Tuning, Database Management, Requirements Analysis, Software Development Fundamentals Familiar with Software Development Life Cycle Proven excellent Problem Solving, Documentation Skills, Written & Verbal Communication skills Proven excellent Data Maintenance and promoting Process Improvement skills Proven well-developed written and verbal communications and presentation skills Proven to be open for Development and Support Proven ability to write user and technical documentation Proven ability to conduct analysis to ensure quality of data at various stages of its evolution Proven ability to solve complex problems and develop innovative solutions Proven ability to complete projects that require data mining, analysis, and presentation Proven ability to create, test and execute SQL language code Proven ability to work independently with minimum support/mentoring Proven ability to learn new technology Preferred Qualifications Experience in the health care industry Hands-on experience on ETL processes using SSIS, Netezza, Teradata etc. Experience with ML, deep learning, TensorFlow, NLP Experience in Snowflake Experience developing and maintaining data preparation and validation routines to support data mining and creating complex data mining algorithms General This is a high visibility role requiring high energy due to the constant interaction with the customers. It’s good to have a candidate who has the below abilities: Self-driven, ability to work independently and facilitate change Ability to work in a fast-paced, technical, cross-functional environment Excellent Visual design sense regarding clear and accurate presentation of data Ability to work on projects from inception to completion Excellent critical thinking and analytical skills Ability to maintain understanding of numerous client processes Possess excellent time management and prioritization skills in order to meet multiple deadlines Comfortable working in a high-paced/high production area Desire and ability to learn new skills, systems and processes Anticipate customer needs and proactively develop solutions to meet them At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Position Description Company Profile: At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve. At CGI, we’re a team of builders. We call our employees members because all who join CGI are building their own company - one that has grown to 72,000 professionals located in 40 countries. Founded in 1976, CGI is a leading IT and business process services firm committed to helping clients succeed. We have the global resources, expertise, stability and dedicated professionals needed to achieve results for our clients - and for our members. Come grow with us. Learn more at www.cgi.com. This is a great opportunity to join a winning team. CGI offers a competitive compensation package with opportunities for growth and professional development. Benefits for full-time, permanent members start on the first day of employment and include a paid time-off program and profit participation and stock purchase plans. We wish to thank all applicants for their interest and effort in applying for this position, however, only candidates selected for interviews will be contacted. No unsolicited agency referrals please. Job Title: Senior Software Engineer - Data Analyst Position: Senior Software Engineer - Data Analyst Experience: 3 to 6 Years Main location: India, Telangana, Hyderabad Position ID: J0525-1616 Shift: General Shift (5 Days WFO for initial 8 weeks) Employment Type: Full Time Your future duties and responsibilities Design, develop, and optimize complex SQL queries for data extraction, transformation, and loading (ETL). Work with Teradata databases to perform high-volume data analysis and support enterprise-level reporting needs. Understand business and technical requirements to create and manage Source to Target Mapping (STM) documentation. Collaborate with business analysts and domain SMEs to map banking-specific data such as transactions, accounts, customers, products, and regulatory data. Analyze large data sets to identify trends, data quality issues, and actionable insights. Participate in data migration, data lineage, and reconciliation processes. Ensure data governance, quality, and security protocols are followed. Support testing and validation efforts during system upgrades or new feature implementations. Required Qualifications To Be Successful In This Role Advanced SQL – Joins, subqueries, window functions, performance tuning. Teradata – Query optimization, utilities (e.g., BTEQ, FastLoad, MultiLoad), DDL/DML. Experience with ETL tools (e.g., Informatica, Talend, or custom SQL-based ETL pipelines). Hands-on in preparing STM (Source to Target Mapping) documents. Familiarity with data modeling and data warehouse concepts (star/snowflake schema). Proficient in Excel and/or BI tools (Power BI, Tableau, etc.) for data visualization and analysis. Together, as owners, let’s turn meaningful insights into action. Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because… You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction. Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise. You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons. Come join our team—one of the largest IT and business consulting services firms in the world.

HIRING FOR ETL TESTER- CHENNAI Job Summary: We are seeking an experienced ETL Tester with 4 years of hands-on experience in data validation, ETL processes, and backend testing. The ideal candidate will be responsible for ensuring the accuracy and quality of data transformations and migrations through well-structured test plans and strategies. Key Responsibilities: Design, develop, and execute ETL test plans , test cases, and test scripts for data migration and transformation projects. Perform data validation , data integrity , and data quality checks on data extracted from various sources and loaded into data warehouses. Validate ETL mappings , workflows , and sessions created using tools like Informatica , Talend , or SSIS . Write and execute SQL queries for backend testing, source-to-target data validation, and data profiling. Work closely with ETL developers, data architects, and business analysts to understand requirements and ensure data accuracy. Conduct root cause analysis of data issues and provide detailed defect documentation. Participate in agile/scrum ceremonies and support continuous improvement in the QA process. Collaborate with the QA lead and project teams to ensure timely delivery of test deliverables. Required Skills: 4+ years of experience in ETL Testing and Data Warehousing projects. Proficient in writing complex SQL queries for data validation and troubleshooting. Strong understanding of ETL processes , data flows, and data transformation logic . Experience with at least one ETL tool (e.g., Informatica , Talend , SSIS ). Hands-on experience with databases like Oracle , SQL Server , Teradata , or Snowflake . Familiarity with test automation and data comparison tools is a plus. Knowledge of BI/reporting tools (like Tableau, Power BI) is advantageous. Good understanding of SDLC and QA methodologies , especially in Agile environments

We are looking for a highly skilled and hands-on Senior Data Engineer to join our growing data engineering practice in Mumbai. This role requires deep technical expertise in building and managing enterprise-grade data pipelines, with a primary focus on Amazon Redshift, AWS Glue, and data orchestration using Airflow or Step Functions. You will be responsible for building scalable, high-performance data workflows that ingest and process multi-terabyte-scale data across complex, concurrent environments. The ideal candidate is someone who thrives in solving performance bottlenecks, has led or participated in data warehouse migrations (e. g., Snowflake to Redshift), and is confident in interfacing with business stakeholders to translate requirements into robust data solutions. Responsibilities Design, develop, and maintain high-throughput ETL/ELT pipelines using AWS Glue (PySpark), orchestrated via Apache Airflow or AWS Step Functions. Own and optimize large-scale Amazon Redshift clusters and manage high concurrency workloads for a very large user base: Lead and contribute to migration projects from Snowflake or traditional RDBMS to Redshift, ensuring minimal downtime and robust validation. Integrate and normalize data from heterogeneous sources, including REST APIs, AWS Aurora (MySQL/Postgres), streaming inputs, and flat files. Implement intelligent caching strategies, leverage EC2 and serverless compute (Lambda, Glue) for custom transformations and processing at scale. Write advanced SQL for analytics, data reconciliation, and validation, demonstrating strong SQL development and tuning experience. Implement comprehensive monitoring, alerting, and logging for all data pipelines to ensure reliability, availability, and cost optimization. Collaborate directly with product managers, analysts, and client-facing teams to gather requirements and deliver insights-ready datasets. Champion data governance, security, and lineage, ensuring data is auditable and well-documented across all environments. Requirements 2-4 years of core data engineering experience, especially focused on Amazon Redshift hands-on performance tuning and large-scale management capacity. Demonstrated experience handling multi-terabyte Redshift clusters, concurrent query loads, and managing complex workload segmentation and queue priorities. Strong experience with AWS Glue (PySpark) for large-scale ETL jobs. Solid understanding and implementation experience of workflow orchestration using Apache Airflow or AWS Step Functions. Strong proficiency in Python, advanced SQL, and data modeling concepts. Familiarity with CI/CD pipelines, Git, DevOps processes, and infrastructure-as-code concepts. Experience with Amazon Athena, Lake Formation, or S3-based data lakes. Hands-on participation in Snowflake, BigQuery, or Teradata migration projects. AWS Certifications such as: AWS Certified Data Analytics - Specialty. AWS Certified Solutions Architect - Associate/Professional. Exposure to real-time streaming architectures or Lambda architectures. Soft Skills & Expectations Excellent communication skills enable able to confidently engage with both technical and non-technical stakeholders, including clients. Strong problem-solving mindset and a keen attention to performance, scalability, and reliability. Demonstrated ability to work independently, lead tasks, and take ownership of large-scale systems. Comfortable working in a fast-paced, dynamic, and client-facing environment. This job was posted by Rituza Rani from Oneture Technologies.

Company Description The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster. Job Description Roles and ResponsibilitiesAssistant Managers are expected to understand client objectives and collaborate with the Project Lead to design appropriate analytical solutions. They should be able to translate business goals into structured deliverables with defined priorities and constraints. The role involves managing, organizing, and preparing data, conducting quality checks, and ensuring readiness for analysis.They should be proficient in applying statistical and machine learning techniques such as regression (linear/non-linear), decision trees, segmentation, time series forecasting, and algorithms like Random Forest, SVM, and ANN. Sanity checks and rigorous self-QC of all outputs, including work from junior analysts, are essential to ensure accuracy.Interpretation of results in the context of the client’s industry is necessary to generate meaningful insights. Assistant Managers should be comfortable handling client calls independently and coordinating regularly with onsite leads when applicable. They should be able to discuss specific deliverables or queries over calls or video conferences.They must manage projects from initiation through closure, ensuring timely and within-budget delivery. This includes collaborating with stakeholders to refine business needs and convert them into technical specifications, managing data teams, conducting performance evaluations, and ensuring high data quality. Effective communication between technical and business stakeholders is key to aligning expectations. Continuous improvement of analytics processes and methodologies is encouraged. The role also involves leading cross-functional teams and overseeing project timelines and deliverables.Client ManagementAssistant Managers will act as the primary point of contact for clients, maintaining strong relationships and making key decisions independently. They will participate in discussions on deliverables and guide project teams on next steps and solution approaches.Technical RequirementsCandidates must have hands-on experience connecting databases with Knime (e.g., Snowflake, SQL DB) and working with SQL concepts such as joins and unions. They should be able to read from and write to databases, utilize macros to automate tasks, and enable schedulers to run workflows. The ability to design and build ETL workflows and datasets in Knime for BI reporting tools is crucial. They must perform end-to-end data validation and maintain documentation supporting BI reports.They should be experienced in developing interactive dashboards and reports using PowerBI and leading analytics projects using PowerBI, Python, and SQL. Presenting insights clearly through PowerPoint or BI dashboards (e.g., Tableau, Qlikview) is also expected.Ideal CandidateThe ideal candidate will have 4 to 7 years of relevant experience in advanced analytics for Marketing, CRM, or Pricing within Retail or CPG; other B2C sectors may also be considered. Experience in managing and analyzing large datasets using Python, R, or SAS is required, along with the use of multiple analytics and machine learning techniques.They should be able to manage client communications independently and understand consumer-facing industries such as Retail, CPG, or Telecom. Familiarity with handling various data formats (flat files, RDBMS) and platforms (Knime, SQL Server, Teradata, Hadoop, Spark) in both on-premise and cloud environments is expected. A solid foundation in advanced statistical techniques such as regressions, decision trees, clustering, forecasting (ARIMA/X), and machine learning is essential.Other SkillsStrong verbal and written communication is a must. The candidate should be able to deliver client-ready outputs using Excel and PowerPoint. Knowledge of optimization techniques (linear/non-linear), supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview is a plus. Qualifications Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/UniversitiesMBA from top tier B-schools

Company Description The Smart Cube, a WNS company, is a trusted partner for high performing intelligence that answers critical business questions. And we work with our clients to figure out how to implement the answers, faster. Job Description Roles and ResponsibilitiesAssistant Managers must understand client objectives and collaborate with the Project Lead to design effective analytical frameworks. They should translate requirements into clear deliverables with defined priorities and constraints. Responsibilities include managing data preparation, performing quality checks, and ensuring analysis readiness. They should implement analytical techniques and machine learning methods such as regression, decision trees, segmentation, forecasting, and algorithms like Random Forest, SVM, and ANN.They are expected to perform sanity checks and quality control of their own work as well as that of junior analysts to ensure accuracy. The ability to interpret results in a business context and identify actionable insights is critical. Assistant Managers should handle client communications independently and interact with onsite leads, discussing deliverables and addressing queries over calls or video conferences.They are responsible for managing the entire project lifecycle from initiation to delivery, ensuring timelines and budgets are met. This includes translating business requirements into technical specifications, managing data teams, ensuring data integrity, and facilitating clear communication between business and technical stakeholders. They should lead process improvements in analytics and act as project leads for cross-functional coordination.Client ManagementThey serve as client leads, maintaining strong relationships and making key decisions. They participate in deliverable discussions and guide project teams on next steps and execution strategy.Technical RequirementsAssistant Managers must know how to connect databases with Knime (e.g., Snowflake, SQL) and understand SQL concepts such as joins and unions. They should be able to read/write data to and from databases and use macros and schedulers to automate workflows. They must design and manage Knime ETL workflows to support BI tools and ensure end-to-end data validation and documentation.Proficiency in PowerBI is required for building dashboards and supporting data-driven decision-making. They must be capable of leading analytics projects using PowerBI, Python, and SQL to generate insights. Visualizing key findings using PowerPoint or BI tools like Tableau or Qlikview is essential.Ideal CandidateCandidates should have 4–7 years of experience in advanced analytics across Marketing, CRM, or Pricing in Retail or CPG. Experience in other B2C domains is acceptable. They must be skilled in handling large datasets using Python, R, or SAS and have worked with multiple analytics or machine learning techniques. Comfort with client interactions and working independently is expected, along with a good understanding of consumer sectors such as Retail, CPG, or Telecom.They should have experience with various data formats and platforms including flat files, RDBMS, Knime workflows and server, SQL Server, Teradata, Hadoop, and Spark—on-prem or in the cloud. Basic knowledge of statistical and machine learning techniques like regression, clustering, decision trees, forecasting (e.g., ARIMA), and other ML models is required.Other SkillsStrong written and verbal communication is essential. They should be capable of creating client-ready deliverables using Excel and PowerPoint. Knowledge of optimization methods, supply chain concepts, VBA, Excel Macros, Tableau, and Qlikview will be an added advantage. Qualifications Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/UniversitiesMBA from top tier B-schools