121 Data Sources Jobs

Strong fundamentals in Python, Elasticsearch, FastAPI, Python Scripting and other similar technologies. High degree of proficiency in custom search and analytics application development using FastAPI and Elasticsearch. Good hands-on experience querying data from Elasticsearch and create REST API. Experience implementing AI/ML use cases on Elasticsearch. Extensive experience with indexing data from variety of data sources including bigdata systems like Databricks, Snowflake. Experience tuning Elasticsearch performance by analyzing query patterns, optimizing indexing, caching, JVM heap size etc. to meet SLAs. Create highly reusable libraries of index templates, custom analyzers, scripts covering varied datatypes and use cases. Collaborate with data engineers to construct efficient pipelines, ETL jobs to maximize data quality and integrity. Guide application developers on complex search, filtering, aggregation requirements and query optimization. Research and prototype new Elasticsearch feature like AI-based relevance tuning, Graph capabilities. Experience in Cloud technologies, primarily Microsoft Azure. Ability to anticipate problems and steer the team towards right direction. Knowledge of software development lifecycle, DevOps (build, continuous integration, deployment tools) and standard methodologies. Experience in working source control management systems like git, Bitbucket and managing packages using private registries like Jfrog. Knowledge of secure coding practices, compliance, open-source technologies and licensing.

Technology Deployment and Management Service (TDMS) organization is a critical arm of Oracle FLEXCUBE consulting group. TDMS delivers Oracle Technology services for FSGBU product customer, while the applications team focusses on the application customization and setup. We are looking for a highly capable, self-motivated and independent Senior Middleware Administrators based in India. If you are passionate about Oracle Middleware technology as well as cloud computing, this is the ideal role youve been waiting for. Our MW team supports technology which are available both on-premise and on Cloud. In this role, you will be asked to organize and manage the Middleware instances to meet our objectives and maintain the highest customer satisfaction that is possible. To ensure success as a MW Specialist, you should possess extensive knowledge of Oracle Middleware architecture, as well as having experience in a similar role. Our Engineers are deep technical domain experts, who are responsible for both explaining and showing how Oracles Cloud Infrastructure Solutions solve real-world business challenges. They work closely with field Cloud Architects to help craft the solution and then continue to collaborate with the customer on implementation of these solutions. Responsibilities include: In-depth knowledge on Oracle Fusion middleware 11g/12c/14c Hands-on knowledge of Cloud (OCI, AWS or AZURE) Strong Core Oracle WebLogic knowledge (11g, 12c and 14c) Strong experience in troubleshooting JVM performance Strong experience in performing detailed incident analysis with thread dumps and heap dumps of JVM Strong experience in applying Oracle Fusion middleware patches (i.e. Quarterly patches, one-off patches, etc.,) Strong knowledge in installing and configuring Webservers such as OHS, Apache, etc., Strong knowledge in configuring Data sources, JMS resources such as queues, topics in clustered environment, etc., Strong knowledge in deploying application and troubleshooting components such as EARs, WARs, with EJBs, MDBs, Restful and Web services. Strong knowledge in configuring SSL certificates in Fusion middleware products. Strong knowledge in WLST, shell / python scripting for automation in monitoring metrics, raising alerts, etc., Strong Knowledge in OS level resource monitoring (Memory, CPU and I/O) such as NMON, OSWatcher, etc., Good Knowledge in SSO integration with the application deployment using with Oracle OID, OAM, etc., and familiar with SAML based integration with MS Active Directory, etc., Good knowledge and exposure to Oracle WebLogic monitoring tools (i.e. OEM, OCI O&M, etc.,) Good knowledge on Application Performance tuning Familiar and basic knowledge in handling Oracle Coherence Familiar and basic knowledge in handling Top Link, Oracle Service Bus, SOA, OAS and Web Center Handled performance SLAs of mission critical application Basic knowledge on Oracle Database (e.g. database connection, SQL/PLSQL) Knowledge of Fusion middleware best practices and industry standard security practices. Hands-on and expertise in Application deployment migrations Preferred qualifications include: Primary focus on developing customer solutions using Oracle's offerings: Oracle Fusion Middleware Knowledge on Oracle Enterprise Manager Grid Knowledge of best practices in Oracle WebLogic. Knowledge of Database, Cloud Concepts, Autonomous Data warehouse (ADW), Data Integration (ODI/Golden Gate) is an added advantage Education and Certification: BE/MCA or any computer science related major At least 10+ years of experience as Oracle WebLogic / Fusion middleware products Strong analytical, communication, coordination and interpersonal skills Exceptional organizational skills and attention to detail

Purpose of Job This role follows data management best practices to make sure data is accurate and reliable. This role works with the business team in US for gathering requirements and perform quality checks and provide correct data for the business processes. We'll trust you to: Create and maintain efficient, and reliable data. Ensure best practices are followed for data quality. Identify the issues and provide solutions to mitigate and address these issues. Continuously expand body of knowledge via research. Comply with corporate quality policies and procedures. Ensure all training requirements are completed in a timely manner. You'll need to have: Minimum of 1 year experience in the following: Experience with data quality control and fuzzy matching in US Pharmaceuticals market is strongly preferred. Proficient in Excel. Experience implementing or supporting HCP and HCO data management, and MDM (Master Data Management) in US pharmaceuticals market is preferred. Understanding data sources is strongly preferred. Having good knowledge in relational databases and SQL queries preferred. Familiarity with quality control in CRM tools. Excellent communication skills. Ability to communicate with business stakeholders. Excellent listening skills to understand business needs. Excellent thinking skills and ability to brainstorm ideas. Ability to work in a team and collaborate across teams. Ability to adapt to changing and increasing workload. Ability to assess and identify bottlenecks and potential failures. Fluency in English is required (spoken and written)

You are a strategic thinker passionate about driving solutions in Analytics Solutions. You have found the right team. Lead, mentor, and manage a team of associates, fostering a culture of innovation and continuous improvement. Perform data mining, analytics, and problem solving. Analyzing business requirements, designing, building, and testing to ensure the delivery of high-quality data insights and visualizations. Work closely with Product Owners and Operations to develop requirements and implement new capabilities. Understanding the data sources to use and ensure team standards are adhered to. Proactively engage to mitigate risk through continuous process improvement, root cause analysis, and collaboration with Operations teams. Embrace continuous learning as new tools and technologies become available to the team. Earn a Bachelor's or Masters degree in a quantitative field or achieve an equivalent combination of education and/or business experience. Minimum 15+ years of experience in business system analysis or business application design and development roles. Acquire extensive knowledge of database design and relational database principles, with prior experience in large-scale data warehouses. Work with Business Intelligence tools such as Tableau and Business Objects. Experience with Agile methodologies or the Software Development Life Cycle (SDLC). Proactively motivate oneself and remain flexible with a positive attitude; efficiently multitask and work independently under pressure to deliver business demands on time, to a high-level standard. Excel in team-working skills, developing and maintaining strong relationships with team members, peers, and internal and external management, contributing beyond core roles and responsibilities. Analyze and solve problems with excellent analytical skills, providing sound recommendations to management. Preferred qualifications, capabilities, and skills include prior experience with SQL, Python, Alteryx, or another programming language in a work-related capacity. Proficiency with querying enterprise databases using SQL to obtain relevant data for analysis. Experience with writing code using SQL / Pyspark and performing statistical descriptions. Experience with Tableau. Proven strong analytical and communication skills. Aptitude and curiosity for developing automated solutions to solve business problems.,

We are seeking a dynamic & detail oriented senior research professional to oversee daily operations of our India market research team. Ideal candidate will be responsible for ensuring high-quality data collection, analysis, reporting, and insights delivery that supports strategic business decisions and investment opportunities. This role requires a hands-on leader with a good understanding of real estate markets, strong analytical skills, and experience managing research processes and teams. Team Management: Supervise, mentor, and coordinate the work of a team of real estate analysts and researchers. Assign daily tasks, set priorities, and monitor performance to ensure timely and accurate output. Provide regular feedback, training, and development opportunities to team members. QC reports / periodicals authored by junior research members Research Operations: Oversee the collection, validation, and analysis of real estate data including leases, sale, rents, construction status, and economic indicators. Ensure process adherence to standardized methodologies for data gathering and reporting. Maintain quality control across research deliverables including reports, dashboards, and presentations. Market Intelligence & Reporting: Produce regular market research reports covering trends, forecasts, and competitive analysis across asset classes (residential, commercial, industrial, etc.). Collaborate with internal stakeholders (investment, development, acquisitions, and strategy teams) to provide actionable insights. Monitor key trends, regulatory changes, and economic factors affecting real estate markets. Process Improvement: Identify and implement improvements in research tools, workflows, and data sources. Introduce automation or advanced analytics techniques to enhance team productivity and insight generation. Stakeholder Engagement: Act as a point of contact for external data providers, consultants, and industry bodies. Present research findings to internal leadership or external clients when needed. About You: Bachelors degree in Real Estate, Economics, Urban Planning, Finance, or a related field (Masters degree preferred). 12+ years of experience in real estate research or analytics, with at least 2-3 years in a team leadership role. Strong knowledge of real estate markets, data sources, and research methodologies. Proficiency in MS Excel, PowerPoint, and other research tools (e.g., REIS, PropEquity, Real Capital Analytics etc.) Experience with GIS, data visualization, or statistical software (e.g., Tableau, Power BI, R, or Python) will be an advantage. Excellent communication, organizational, and leadership skills.

At MediaKind, we are reshaping the future of streaming video by leveraging our cloud-native, agile technology to enable customers to rapidly build, deploy, and scale premium streaming experiences. Our goal is to transform how the world watches video, ensuring that every moment is extraordinary, personalized, and valuable for content owners and consumers alike. As part of our dynamic team, you will be contributing to redefining how media experiences are brought to life. Our award-winning products simplify complex operations, allowing customers - from iconic sports brands to innovative broadcasters and content owners - to focus on storytelling and growth. By replacing legacy complexity with cloud-connected solutions, we prioritize speed, simplicity, and commercial transparency. We value practical thinking over buzzwords and velocity over bureaucracy. Our strength lies not only in technology but also in our people. We are dedicated to fostering a passionate community of creators, developers, and artists who are truly passionate about what they do. Together, we are redefining the art of streaming. As a Data Analyst joining our master data and reporting team, you will play a crucial role in providing MediaKind with a solid foundation to enhance our reporting and data analytics tools. Your focus will be on process optimization, system standardization, data integrity, and creative analytics. Working with various stakeholders, you will drive sustainable improvements in data quality, ensuring that data operates effectively and efficiently. We are seeking a delivery-focused and self-motivated Data Analyst to collaborate with our team and contribute to developing Tableau projects while eliminating poor data quality. Your responsibilities will include developing, maintaining, and managing advanced reporting, analytics, dashboards, and other BI solutions, as well as performing data analysis, validation, and mapping. You will collaborate with IT teams and business experts to implement data-driven policies and initiatives, create reports using graphical and data modeling techniques, and gather and normalize data from multiple sources. At MediaKind, we are committed to creating an inclusive workplace that values the unique skills, capabilities, and perspectives of our employees. We believe that diverse teams are beneficial for our employees, customers, and business. If you are excited about this position and believe you can add value to MediaKind, we encourage you to apply, even if you feel your skills are not a perfect fit. We aim to increase diversity across the Media Broadcast industry and strive to make the recruitment process as accessible as possible. If you require any reasonable adjustments during the recruitment process, please reach out to the Recruiter to discuss how we can support you.,

About The Role Skill required: Delivery - Market Research Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.You will conduct market and consumer research to support strategic decisions in product, marketing, and growth initiatives. Your insights will help clients better understand trends, competitors, and customer behavior. What are we looking for? 3+ years of relevant experience Experience with syndicated data sources (e.g., Nielsen, Kantar) Experience using Meltwater & similar research tools Experience with SQL and Python Proficiency in tools such as SPSS, Word, Excel and PowerPoint Experience in primary and secondary research Strong analytical, statistical and problem-solving skills A background in both quantitative and qualitative research Skills in designing and analyzing quantitative studies Ability to develop customer or competitor profiles Structured thinking and attention to business context Excellent verbal and written communication Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Experience in E-commerce, CPG, Retail, Beauty industry and domain Client management skills Prior experience of BI tools (e.g. Looker or Tableau or Power BI) Prior experience using cloud data platforms (e.g. GCP, Snowflake etc.) Roles and Responsibilities: Analyze shoppers, including transactional, behavioral, demographic, and panel-based insightsto understand retention trends, profile attributes, purchase journeys, and category dynamics, enabling data-driven marketing and commerce strategies Conduct local trend spotting & competitive reviews Provide consumer segmentation & behavioral insights using client provided data to inform strategy Develop short-term (0-1 year) and long-term (2-3 years) trend forecasts by synthesizing consumer behavior, market dynamics, competitive activity, and cultural signals to guide strategic planning Consolidate insights & trend identification into inputs Qualification Any Graduation

About The Role About The Role Job Title: Industry & Function AI Decision Science Manager + S&C GN Management Level:07 - Manager Location: Primary Bengaluru, Secondary Gurugram Must-Have Skills: Consumer Goods & Services domain expertise , AI & ML, Proficiency in Python, R, PySpark, SQL , Experience in cloud platforms (Azure, AWS, GCP) , Expertise in Revenue Growth Management, Pricing Analytics, Promotion Analytics, PPA/Portfolio Optimization, Trade Investment Optimization. Good-to-Have Skills: Experience with Large Language Models (LLMs) like ChatGPT, Llama 2, or Claude 2 , Familiarity with optimization methods, advanced visualization tools (Power BI, Tableau), and Time Series Forecasting Job Summary : As a Decision Science Manager , you will lead the design and delivery of AI solutions in the Consumer Goods & Services domain. This role involves working closely with clients to provide advanced analytics and AI-driven strategies that deliver measurable business outcomes. Your expertise in analytics, problem-solving, and team leadership will help drive innovation and value for the organization. Roles & Responsibilities: Analyze extensive datasets and derive actionable insights for Consumer Goods data sources (e.g., Nielsen, IRI, EPOS, TPM). Evaluate AI and analytics maturity in the Consumer Goods sector and develop data-driven solutions. Design and implement AI-based strategies to deliver significant client benefits. Employ structured problem-solving methodologies to address complex business challenges. Lead data science initiatives, mentor team members, and contribute to thought leadership. Foster strong client relationships and act as a key liaison for project delivery. Build and deploy advanced analytics solutions using Accentures platforms and tools. Apply technical proficiency in Python, Pyspark, R, SQL, and cloud technologies for solution deployment. Develop compelling data-driven narratives for stakeholder engagement. Collaborate with internal teams to innovate, drive sales, and build new capabilities. Drive insights in critical Consumer Goods domains such as: Revenue Growth Management Pricing Analytics and Pricing Optimization Promotion Analytics and Promotion Optimization SKU Rationalization/ Portfolio Optimization Price Pack Architecture Decomposition Models Time Series Forecasting Professional & Technical Skills: Proficiency in AI and analytics solutions (descriptive, diagnostic, predictive, prescriptive, generative). Expertise in delivering large scale projects/programs for Consumer Goods clients on Revenue Growth Management - Pricing Analytics, Promotion Analytics, Portfolio Optimization, etc. Deep and clear understanding of typical data sources used in RGM programs POS, Syndicated, Shipment, Finance, Promotion Calendar, etc. Strong programming skills in Python, R, PySpark, SQL, and experience with cloud platforms (Azure, AWS, GCP) and proficient in using services like Databricks and Sagemaker. Deep knowledge of traditional and advanced machine learning techniques, including deep learning. Experience with optimization techniques (linear, nonlinear, evolutionary methods). Familiarity with visualization tools like Power BI, Tableau. Experience with Large Language Models (LLMs) like ChatGPT, Llama 2. Certifications in Data Science or related fields. Additional Information: The ideal candidate has a strong educational background in data science and a proven track record in delivering impactful AI solutions in the Consumer Goods sector. This position offers opportunities to lead innovative projects and collaborate with global teams. Join Accenture to leverage cutting-edge technologies and deliver transformative business outcomes. About Our Company | Accenture Qualification Experience: Minimum 7-9 years of experience in data science, particularly in the Consumer Goods sector Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or MBA (Data Science specialization preferred)

Job Posting TitleMANAGER II DIGITAL EXPERIENCE Business Unit:INDUSTRIAL AUTOMATION & ELECTRIFICATION (50131904) Building:Sahasra Shree (N84) At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. Job Overview: The Digital Customer Solutions (DCS) team is an integral part of the Global Marketing Team within the Industrial Automation & Electrification (IND) business unit (BU) and is responsible for managing TE's digital product data strategy across internal and third-party platforms. The DCS Manager will be reporting to the head of Marketing of the IND BU with responsibility to work together with various functions and sub-verticals within the BU and central functional teams. The DCS Manager will lead a specialized team and oversee digital tools, data integrity, taxonomy, and customer enablement systems to ensure best-in-class digital customer experience for a large industrial product portfolio. The DCS Manager will play a transformational role in how industrial product content is digitized, standardized, and made discoverable globally enabling faster customer decisions and streamlined access to product information. Roles and Responsibilities: Team Leadership: o Manage a team of ~6 Digital Experience Specialists. o Develop team capability and performance. Digital Product Data Governance: o Maintain and improve Product Data Completeness (PDC) and Product Quality Index (PQI). o Manage M&A product integration from external systems of acquired companies to TE.com. Digital Tools Implementation: o Partner with external vendors to build and implement selector/configurator tools for ease of product selection. o Establish a process to gather input from cross-functional teams on requirements and pricing. o Maintain and update existing and new digital tools and provide training. Channel & Third-Party Platform Collaboration: o Identify and manage third-party platforms, software and Electrical Wholesale Suppliers (EWS) for third-party data integration and provisioning. o Ensure accurate product data on distributor websites, EWS platforms, and other third-party platforms beyond ePlan in accordance with standards. o Determine the best course of action to meet schedules and resolve challenges around delivery of product information to customers across different channels, third- party Master Data Management (MDM) platforms and 3D CAD libraries. o Work with the TE channel enablement team to ensure TE products are consistently and accurately represented on distributor websites and across the digital ecosystem. Technical Collateral: o Oversee the creation and maintenance of datasheets for NPIs and legacy products on TE.com for sub-verticals in collaboration with product managers and engineers. Analytics & Optimization: o Leverage Adobe Analytics, Tableau, etc. to develop KPIs and optimize digital engagement across platforms. Compliance & Standardization: o Drive standardization and provide governance of digital information delivery in the business. o Ensure adherence to GSPDC standards, TE.com readiness, and consistent data publication processes. o Taxonomy validation in partnership with taxonomy team, product management, and engineering. Skills, Competencies and Education: Technical Skills: Prior experiencing creating digital strategy and roadmap. Demonstrated experience/ knowledge of digital self-serve tools, like product selectors, configurators, 3D interactive customer engagement platforms Experience with identifying and maintaining product facets, including but not limited to customer view models, drawings, product compatibility, product data sheets, etc. Experience in managing large product content transformation and migration projects, including M&A parts integration. Hands on experience working with 3rd party agencies on implementing device agnostic responsive design digital commerce solutions Knowledge of third-party design automation platforms (EPLAN, ZUKEN, etc.) and master data management tools used to gather product data as per global taxonomy standards like ETIM, UNSPSC, etc. Knowledge of EWS platforms such as FabDis, Idea Connector, etc. Experience with product data/ information management tools such as SAP Hybris, Windchill, etc. Exposure to product design / management & supply chain processes will be a plus. Knowledge of central part/ master data/ product lifecycle management tools. Have a deep understanding of system dependencies, data sources, granularity, availability, and limitations. Competencies: Industrial B2B product and market knowledge Project Management skills Excellent written and verbal communication skills Results driven Continuous Improvement mindset Skilled in MS Office (Word, Excel, PowerPoint) Data analytics skill and advanced knowledge of tools like Adobe Analytics and/ or Tableau to develop insight and recommendations to manage digital product data across the product portfolio. Problem solving skills Strong stakeholder management and influencing skills for internal partners with whom no direct reporting relationship exists Prior experience working in a matrix organization with collaborative relationships across global teams Leading teams, including coaching and developing talent Education and Experience: BE/BTech in Engineering (Mechanical / Electrical/ Electronics / Industrial). 15+ years of work experience, with 10-12 years in digital product data/experience management. Competencies SET Strategy, Execution, Talent (for managers)

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. The opportunity We're looking for a Senior expertise in Data analytics to create and manage large BI and analytics solutions using Visualization Tools such as OBIEE/OAC that turn data into knowledge. In this role, you should have a background in data and business analysis. You should be analytical and an excellent communicator. Having business acumen and problem-solving aptitude would be a plus. Your key responsibilities - Need to work as a team member and Lead to contribute in various technical streams of OBIEE/OAC implementation projects. - Provide product and design level technical best practices. - Interface and communicate with the onsite coordinators. - Completion of assigned tasks on time and regular status reporting to the lead. Skills and attributes for success - Use an issue-based approach to deliver growth, market, and portfolio strategy engagements for corporates. - Strong communication, presentation, and team building skills and experience in producing high-quality reports, papers, and presentations. - Exposure to BI and other visualization tools in the market. - Building a quality culture. - Foster teamwork. - Participating in the organization-wide people initiatives. To qualify for the role, you must have - BE/BTech/MCA/MBA with adequate industry experience. - Should have at least around 3 to 7 years of experience in OBIEE/OAC. - Experience in Working with OBIEE, OAC end-to-end implementation. - Understanding ETL/ELT Process using tools like Informatica/ODI/SSIS. - Should have knowledge of reporting, dashboards, RPD logical modeling. - Experience with BI Publisher. - Experience with Agents. - Experience in Security implementation in OAC/OBIEE. - Ability to manage self-service data preparation, data sync, data flow, and working with curated data sets. - Manage connections to multiple data sources - cloud, non-cloud using available various data connector with OAC. - Experience in creating pixel-perfect reports, manage contents in the catalog, dashboards, prompts, calculations. - Ability to create a data set, map layers, multiple data visualization, story in OAC. - Good understanding of various data models e.g. snowflakes, data marts, star data models, data lakes, etc. - Excellent written and verbal communication. - Having Cloud experience is an added advantage. - Migrating OBIEE on-premise to Oracle analytics in the cloud. - Knowledge and working experience with Oracle autonomous database. - Strong knowledge in DWH concepts. - Strong data modeling skills. - Familiar with Agile and Waterfall SDLC processes. - Strong SQL/PLSQL with analytical skill. Ideally, you'll also have - Experience in Insurance and Banking domains. - Strong hold in project delivery and team management. - Excellent written and verbal communication skills.,

Role Description The Compliance and Anti-Financial Crime (CAFC) Data Office is responsible for Data Governance and Management across key functions including AFC, Compliance, and Legal. The team supports these functions in establishing and improving data governance to achieve critical business outcomes such as effective control operation, regulatory compliance, and operational efficiency. The CAFC Data Governance and Management team implements Deutsche Banks Enterprise Data Management Frameworkfocusing on controls, culture, and capabilitiesto drive improved data quality, reduce audit and regulatory findings, and strengthen controls. As a member of the Divisional Data Office, the role holder will support both Run-the-Bank and Change-the-Bank initiatives, with a particular focus on Financial Crime Risk Assessment (FCRA) data collation, processing, testing, and automation. Your key responsibilities Document and maintain existing and new processes; respond to internal and external audit queries and communicate updates clearly to both technical and non-technical audiences. Independently manage the FCRA data collection process including data collection template generation, quality checks, and stakeholder escalation. Execution of data cleansing and transformation tasks to prepare data for analysis. Perform variance analysis and develop a deep understanding of underlying data sources used in Financial Crime Risk Assessment. Documentation of data quality findings and recommendations for improvement/feeding into the technology requirements. Work with Data Architecture & developers to design and build data FCRA Risk data metrics. Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification. To ensure new data sources align with Deutsche Banks Data Governance standards, maintain metadata in Collibra, visualize data lineage in Solidatus, and ensure certification and control coverage. Automate manual data processes using tools such as Python, SQL, Power Query and MS excel to improve efficiency and reduce operational risk. Translate complex technical issues into simple, actionable insights for business stakeholders, demonstrating strong communication and stakeholder management skills. Your skills and experience 6+ years of experience in data management within financial services, with a strong understanding of data risks and controls. Familiarity with industry-standard frameworks such as DCAM or DAMA (certification preferred). Hands-on experience with Data cataloguing using Collibra, Data lineage documentation using Solidatus and Data control assessment and monitoring Proficiency in Python, SQL, and Power Query/excel for data analysis and automation. Strong communication skills with the ability to explain technical concepts to non-technical stakeholders. Proven ability to work independently and collaboratively across global teams.

About The Role Skill required: Delivery - Market Research Designation: I&F Decision Sci Practitioner Sr Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.You will conduct market and consumer research to support strategic decisions in product, marketing, and growth initiatives. Your insights will help clients better understand trends, competitors, and customer behavior. What are we looking for? 5+ years of relevant experience Experience with syndicated data sources (e.g., Nielsen, Kantar) Experience using Meltwater & similar research tools Experience with SQL and Python Proficiency in tools such as SPSS, Word, Excel and PowerPoint Experience in primary and secondary research Strong analytical, statistical and problem-solving skills A background in both quantitative and qualitative research Skills in designing and analyzing quantitative studies Ability to develop customer or competitor profiles Structured thinking and attention to business context Excellent verbal and written communication Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Experience in E-commerce, CPG, Retail, Beauty industry and domain Client management skills Prior experience of BI tools (e.g. Looker or Tableau or Power BI) Prior experience using cloud data platforms (e.g. GCP, Snowflake etc.) Roles and Responsibilities: Analyze shoppers, including transactional, behavioral, demographic, and panel-based insightsto understand retention trends, profile attributes, purchase journeys, and category dynamics, enabling data-driven marketing and commerce strategies Conduct local trend spotting & competitive reviews Provide consumer segmentation & behavioral insights using client provided data to inform strategy Develop short-term (0-1 year) and long-term (2-3 years) trend forecasts by synthesizing consumer behavior, market dynamics, competitive activity, and cultural signals to guide strategic planning Consolidate insights & trend identification into inputs Qualification Any Graduation

About The Role Skill required: Delivery - Market Research Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years What would you do? Were Accenture Marketing Operations. Were the global managed services arm of Accenture Interactive. We sit in the Operations Business to take advantage of the industrialized run capabilities leveraging investments from Accenture Operations.Our quest is to activate the best experiences on the planet by driving value across every customer interaction to maximize marketing performance. We combine deep functional and technical expertise to future-proof our clients business while accelerating time-to-market and operating efficiently at scale.We are digital professionals committed to providing innovative, end-to-end customer experience solutions focusing on operating marketing models that help businesses transform and excel in the new world, with an ecosystem that empowers our clients to implement the changes necessary to support the transformation of their businesses.You will conduct market and consumer research to support strategic decisions in product, marketing, and growth initiatives. Your insights will help clients better understand trends, competitors, and customer behavior. What are we looking for? 8+ years of relevant experience Experience with syndicated data sources (e.g., Nielsen, Kantar) Experience using Meltwater & similar research tools Experience with SQL and Python Proficiency in tools such as SPSS, Word, Advanced Excel and PowerPoint Experience in primary and secondary research Strong analytical, statistical and problem-solving skills A background in both quantitative and qualitative research Skills in designing and analyzing quantitative studies Ability to develop customer or competitor profiles Structured thinking and attention to business context Excellent verbal and written communication Strong team player and excellent problem-solving skills Ability to work in a global collaborative team environment Attention to detail and ability to work in high pressure environment Client management skills Experience in E-commerce, CPG, Retail, Beauty industry and domain Team handling Experience (5-10 members) Prior experience of BI tools (e.g. Looker or Tableau or Power BI) Prior experience using cloud data platforms (e.g. GCP, Snowflake etc.) Roles and Responsibilities: Analyze shoppers, including transactional, behavioral, demographic, and panel-based insightsto understand retention trends, profile attributes, purchase journeys, and category dynamics, enabling data-driven marketing and commerce strategies Conduct local trend spotting & competitive reviews Provide consumer segmentation & behavioral insights using client provided data to inform strategy Develop short-term (0-1 year) and long-term (2-3 years) trend forecasts by synthesizing consumer behavior, market dynamics, competitive activity, and cultural signals to guide strategic planning Consolidate insights & trend identification into inputs Qualification Any Graduation

Skill required: Property & Casualty - Catastrophe Risk Management Designation: CAT Modeling & Analytics Specialist Qualifications: BE Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do We help insurers redefine their customer experience while accelerating their innovation agenda to drive sustainable growth by transforming to an intelligent operating model. Intelligent Insurance Operations combines our advisory, technology, and operations expertise, global scale, and robust ecosystem with our insurance transformation capabilities. It is structured to address the scope and complexity of the ever-changing insurance environment and offers a flexible operating model that can meet the unique needs of each market segment.Cat Risk Analytics team develops technical solutions, applications and tools to support General Insurance business with risk analysis, pricing, portfolio analytics and cat modeling-Develop, maintain and support account pricing/valuation tools and modules-Develop, maintain and support cat modeling for account and portfolio-Develop, maintain and support data for hazard analytics-Develop, maintain and support hazard analytics for natcat and man-made cat risk-Develop, maintain and support portfolio analytics and portfolio modeling tools-Proof-of-concept new ideas (tools and data) quickly for risk analysis, pricing and portfolio analysis-Provide business support by responding to adhoc requests and reports in a timely manner What are we looking for Geo-Spatial Developer/Expert:Strong hands-on experience in Geo-spatial data and technologies, and depth in GIS best practices and principles; Must be able to work independently on technical tasksExpert in ESRI/ArcGIS tool suite - ArcMap/ArcGIS Pro, ArcGIS Server, ESRI/JavaScript, ArcPy (Python)Geo-spatial SQL programming (Oracle Spatial or PostGreSQL) is required.Experience in Python programming is requiredExperience in spatial data processing tool like Safe/FME desktop is required.Demonstrated experience with 3rd party data sources and geo-coding tools is requiredDemonstrated willingness to perform data analysis, and ability to abstract rules for data store and processing. Experience with large data is requiredExperience in Insurance/Reinsurance domain is highly desirable.Able to think independently and creativelyExperience with responding to production business queries and issues in a timely mannerClear and effective communicationStrong attention to detailExcellent time-management skills and multi-tasking under pressureMust be able to balance and adjust to changing organizational prioritiesDrive to solve problems and self-motivated learningMust be able to think outside of the box and have the ability to work in a small, collaborative team environment.Ability to work with global teams in a collaborative modeAbility to deal effectively and courteously with users and colleaguesMust be able to work outside of normal business hours, including evenings, weekends and public holidays, as necessary Roles and Responsibilities: Qualification BE

Job Overview TE Connectivity's Automotive Business Unit (BU) consistently strives to drive innovation and excellence in developing cutting-edge solutions that enhance vehicle connectivity, safety, and efficiency. From robust electrical connectors and sensors to advanced data connectivity systems, the Automotive BU plays a pivotal role in shaping the future of mobility. Its dedication to sustainability, coupled with a relentless pursuit of high-quality products enables the industry to meet the challenges of tomorrow while delivering exceptional value to customers and consumers alike. As part of the Global Automotive Digital Engineering Organization, this role focuses on ensuring the accuracy, consistency, and availability of Digital Product Data across te.com and other customer-facing platforms. The position reports to the Manager Digital Engineering. The Digital Engineering team is at the forefront of engineering transformation, driving digital excellence across product data, systems, and workflows, including AI & Automation. Job Responsibilities: Collaborate with relevant sub-vertical Product Managers, Engineering Teams, IT, Marketing, Product compliance and other stakeholders to gain the necessary understanding to curate, create, publish and distribute digital content in various format and platforms. Utilize data analytics tools like TEs PMINSIGHTS, Adobe Analytics and data warehouse to develop insight and recommendations to product management, marketing and engineering on product selection and promotion across the Industrial product portfolio. Use Engineering skill to understand existing unstructured product data (i.e. catalog, data sheet) and translate this into digital document form and record-based data accessible. Eventually CAD skill might become required to produce customer view models, rendered image, 3D data. Interface with central and other business units digital teams to further develop processes and share best practices. Collaborate into with marketing, IT and central team for product data syndication, publishing and translation. Develop a deep understanding of system dependencies, data sources, granularity, availability, and limitations. Follow existing tracking mechanisms and provide timely status reporting to the Digital Content Manager & Stakeholders (i.e. Product Managers, Engineering Teams, Management), drive improvements based on the business requirements and advise of any potential abnormality, gaps or risk. Identify data quality/integrity issues, propose solutions and oversee their final resolution. Employ strong problem-solving skills with an owner mentality. Willingness to take initiative to contribute beyond basic responsibilities. Achievement against collected targets of required digital content availability will be measured and reported out in a tiered accountability process (BU level, Subvertical level, PLP level, etc.) to drive a sustainable high level of digital content of Industrial products in line with the evolving market needs Desired Candidate Profile: 8+ years of experience in product data/information management. Independent Self-starter able to work effectively in a cross functional environment. Experience with identifying and maintaining product facets, including but not limited to CVMs, Customer Drawings, Product Compatibility & Accessories, Test reports, Product Data Sheets, etc. Demonstrated experience in handling large data sets and a solid understanding of relational databases. Strong analytical skills with the ability to collect, organize, analyse and disseminate significant amounts of information to ensure successful implementations. Strong problem-solving skills and accountability level (taking ownership). Knowledge of engineering and/or product data maintenance tools is a plus. Advanced experience of Excel required which includes experience with Excel functions (i.e. VLOOKUP, IF, LEN), macros, and Pivot tables. Knowledge in reporting and analytics tools like tableau or Power BI Knowledge of product information/ content management solutions is a plus. Good stakeholder management and strong cross-functional teamwork skills and strong communication skills. Background in Engineering, preferably related to Automotive or manufacturing industry

Solution Design & Development: Design, develop, and implement SAP SAC solutions. Create data models, stories, and dashboards in SAC. Develop custom SAC applications using scripting and advanced analytics features. Data Integration & Management: Integrate SAC with various data sources including SAP HANA, BW, S/4HANA, and other external sources. Ensure data accuracy, consistency, and quality in SAC solutions. Stakeholder Collaboration: Work closely with business stakeholders to gather requirements and translate them into technical specifications. Collaborate with cross-functional teams to deliver end-to-end analytics solutions. Performance Optimization: Optimize SAC solutions for performance and scalability. Troubleshoot and resolve issues related to SAC solutions. Documentation & Training: Document SAC solutions, including data models, design specifications, and user manuals. Provide training and support to end-users and other team members. Proficiency in SAP SAC, including data modeling, story creation, and dashboard development. Strong understanding of SAC data connectivity options and integration with various data sources. Experience with SAP HANA, SAP BW, and S/4HANA. Proficient in SAC scripting and advanced analytics capabilities. Solid understanding of data visualization principles and best practices.

We will count on you to: Developing digital / web based data analytics products for multinational clients groups. Also, generate efficiency & productivity by automating the internal processes for the business . Strong skills in concept building and creating Art of Possible for Analytics using data, latest market trends and technology to drive business outcomes. Strong Data Management skills by gathering data from multiple source systems, clean, consolidate and transform into key insights. Exploratory Data Analysis, Reporting key metrics and analyze disparate data sets togetherfor patterns and insights. Performing Quality Assurance (QA) on datasets such as data accuracy, data logics and data comparison with dashboards. Automating the process of capturing data from different sources, cleaning and creation of insights. Understanding of insurance claims, policies, terminologies, health risks and wellbeing are advantage Having experience of around 4-6 years in the BI field- particularly in Qlik sense/ Power BI Having Database management skills using SQL for 3-5 years. Qliksense/ Power BI Developer profile Experience in Dashboard Development Joins, Mash ups , Data Prep in Qlik Data Editor or related Power BI functionalities e.g. DAX, Extensions etc. Should have worked on Extensions Knowledge around JavaScript and Extension development is required Good in articulating data driven solutions to visually apt charts Having knowledge around R/Python/Power BI/Tableau will be preferred What you need to have: BE/B Tech in Computer Science or Bachelor/ Masters Degree in Maths or Statistics Up to 4 to 6 years of progressive experience in Data Engineering team. Hands-on exp. In excel (advance excel knowledge building macros, VBA- expert, R/Python- Intermediate) and good understanding of BI tools Qlik Sense or power BI/ Tableau. Proficiency in extracting data from multiple data sources Web, PDF, Excel or any database with broad working knowledge of methodologies used for analytics is required. What makes you stand out? Degree or Certification in Data Management, Statistics , Analytics and BI tools (Qlik Sense & Power BI) ( would be preferred ) Experience in Healthcare sector, working with Multination clients .

Role Description Project Management & Change Execution is responsible for delivery of the value and strategic outcomes of their Change BoW that ensures successful transition into the organizations goals, processes and technologies. Adopting values and principles that follow agreed processes and practices to allow teams to continually improve their performance. Your key responsibilities Lead end-to-end AI project implementation for Investment Banking, compliance, risk & Finance domains Drive cross-functional collaboration across Sales, CRM, Risk, and CIO teams to meet strategic milestones. Manage sprint planning, backlog grooming, and stakeholder alignment for features like financial spreading, trade data integration, and UI enhancements Oversee vendor coordination for data integration and ensure timely API/data feed integrations Ensure compliance with data guardrails and governance across internal and external data sources Track KPIs and RAG status across dashboards, flashcards, and client engagement tools Coordinate with Senior business and tech stakeholder on project management meetings and documentation Champion innovation through frugal engineering, scalable AI models, and user-centric design Your skills and experience Proven ability to lead AI-driven initiatives across client insights, risk management, and sales enablement domains Skilled in managing cross-functional teams and sprint pipelines involving data summarization, predictive analytics, and UI/UX enhancements Expertise in integrating external data sources with internal systems to deliver actionable intelligence. Strong stakeholder engagement and cadence management with business sponsors, SMEs, and engineering leads Experience in resource planning and hybrid team structures across geographies Familiarity with regulatory frameworks and data governance for AI platforms in banking environments Ability to articulate ROI-driven use cases and drive adoption through demos, feedback loops, and performance tracking

We are seeking a Senior Data Engineer for our Marketing team in Thomson Reuters. Design and develop our data transformation initiatives as we build the data foundation to drive our marketing strategy to enhance our internal and external customer experiences and personalization. This is a mission-critical role with substantial scope, complexity, executive visibility, and has a large opportunity for impact. You will play a critical role in ensuring that customer data is effectively managed and utilized to drive business insights and facilitating informed decision-making and help Thomson Reuters rapidly scale our digital customer experiences. About the Role In this role as a Senior Data Engineer , you will: Independently own and manage assigned projects and meet deadlines, clearly communicating progress and barriers to manager and stakeholders. Serve as a visible Subject Matter Expert on our Customer Data Platform, maintaining up-to-date awareness of industry trends, cutting-edge technologies, and best practices on relevant topics including unified customer profiles, deterministic and probabilistic matching, identity graphs, data enrichment, etc. Design and implement data ingestion pipelines to collect and ingest customer data into the Customer Data Platform from various sources. This involves setting up data pipelines, APIs, and ETL (Extract, Transform, Load) processes. Create and design data models, schemas, and database structures in Snowflake and the Customer Data Platform. Carry out comprehensive data analysis from various system sources to yield enhanced insights into customer behavior and preferences. Gather and analyze data from various touchpoints, including online interactions, transactional systems, and customer feedback channels, creating a comprehensive customer profile that presents a 360-degree view. Ensure the launch of new data, segmentation, and profile capabilities, as well as the evolutions of the platform, go smoothly. This includes testing, post-launch monitoring, and overall setup for long-term success. Collaborate with marketers and other stakeholders to understand their data needs and translate those needs into technical requirements. Actively identify and propose innovations in data practices that evolve capabilities, improve efficiency or standardization, and better support stakeholders. Shift Timings: 2 PM to 11 PM (IST). Work from office for 2 days in a week (Mandatory). About You Youre a fit for the role of Senior Data Engineer, if your background includes: Bachelors or masters degree in data science, business, technology, or an equivalent field. Strong Data Engineering background with 6+ years of experience working on large data transformation projects, related to customer data platforms, Identity Resolution, and Identity Graphs. Solid foundation in SQL and familiarity with other query engines, along with hands-on experience with Snowflake, AWS Cloud, DBT, and Real-time APIs. Expertise in using Presto for querying data across multiple sources and Digdag for workflow management, including the ability to create, schedule, and monitor data workflows. Proficient in configuring and implementing any industry-leading customer data platform, including data integration, segmentation, and activations is a must. Experience using marketing data sources such as CRM especially Salesforce, marketing automation platform especially Eloqua, web tracking Adobe Analytics is a plus. Exposure to Gen AI, capable of leveraging AI solutions to address complex data challenges. Excellent oral, written, and visual (Power point slides) communication skills, especially in breaking down complex information into understandable pieces, telling stories with data, and translating technical concepts for non-technical audiences. Strong ability to organize, prioritize, and complete tasks with a high attention to detail, even in the face of ambiguity and environmental barriers. Knowledge of marketing or digital domains and of professional services industry, especially legal, tax, and accounting is a plus. Experience in working in iterative development and a solid grasp of agile practices. #LI-GS2

Develop dashboards and visualizations in Tableau Connect with various data sources Optimize performance of reports

Develop dashboards and visualizations in Tableau Connect with various data sources Optimize performance of reports

Develop dashboards and visualizations in Tableau Connect with various data sources Optimize performance of reports

Develop dashboards and visualizations in Tableau Connect with various data sources Optimize performance of reports

Develop dashboards and visualizations in Tableau Connect with various data sources Optimize performance of reports

Develop dashboards and visualizations in Tableau Connect with various data sources Optimize performance of reports