11254 Data Quality Jobs - Page 17

About The Role Project Role : Data Strategist Project Role Description : Develop and implement a data strategy and architecture for improving the management, governance, and security of that information. Enable organizations to have a single source of truth for all data, helping them translate information into action to drive efficiency and competitive advantage. Must have skills : Scala Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Strategist, you will be responsible for developing and implementing a comprehensive data strategy and architecture. Your typical day will involve collaborating with...

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensu...

About The Role Project Role : Quality Engineer (Tester) Project Role Description : Enables full stack solutions through multi-disciplinary team planning and ecosystem integration to accelerate delivery and drive quality across the application lifecycle. Performs continuous testing for security, API, and regression suite. Creates automation strategy, automated scripts and supports data and environment configuration. Participates in code reviews, monitors, and reports defects to support continuous improvement activities for the end-to-end testing process. Must have skills : Data Warehouse ETL Testing Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification...

Extensive knowledge of data governance frameworks, methodologies, and best practices. Proven experience in developing and implementing data policies, standards, and procedures. Strong background in data quality management, including issue identification, resolution strategies, and continuous improvement efforts. Experience working with regulatory bodies and understanding compliance requirements related to data management in financial services (preferred). Excellent communication and interpersonal skills, with the ability to effectively influence stakeholders at all organizational levels. Demonstrated leadership in data governance, successfully driving adoption of governance programs across t...

Day-to-day responsibilities include but not limited to: Conduct catastrophe modeling of property insurance portfolios using industry-standard tools (e.g., RMS, AIR, CoreLogic). Analyze exposure data to identify risk concentrations, accumulations, and diversification opportunities. Collaborate with underwriting and actuarial teams to assess risk on individual accounts and overall portfolio. Develop and maintain risk metrics, dashboards, and portfolio summaries to support management decisions. Support reinsurance placement by providing catastrophe loss estimates, PML (Probable Maximum Loss) and AAL (Average Annual Loss) analyses. Validate and enhance data quality by coordinating with internal ...

Job Description We are looking for a versatile analytics professional who can go deep to derive useful insights and delight our customers (and help others learn to do the same). We are a team that moves quickly and relies on each other to think independently, work autonomously, handle ambiguity, and solve hard problems. If you are passionate about developing customer-centric analytics methodologies to help the world s most loved brands, use their data to better serve their customers, and you are looking for a fast-paced, friendly, and fun place to work, you should apply! Responsibilities Work on customer-centric analytics and data engineering projects for global consumer brands Assist in bui...

Overview Deliver data governance in line with DG Policies, including data assessment, data classification, capturing metadata, governing standards, DQ measurement and leading remediation, with a focus on the supplier (vendor) domain. Responsibilities Drive supplier domain metadata mgmt. to enable understanding of data Lead supplier domain data quality mgmt. to ensure data is fit for business use Oversee compliance to data security, privacy and retention policies to ensure appropriate access, privacy, protection, retention and retrieval measures are in place for supplier data. Qualifications 3+ years of experience working in Data Governance or Data Management within a global CPG (Consumer Pac...

Position Overview: As a Software Engineer, you will play a key role in developing new features and maintaining our enterprise Master Data Management and Customer Data Platform (CDP). As a key member of our Customer Technology engineering team, you will play a crucial role in designing and building scalable solutions that centralize, analyze, and utilize customer data which drive highly reliable backend infrastructure and enhance customer user experience. Job Responsibiltites Work with the team and business to develop and extend a comprehensive Customer Master Data Management system to consolidate, cleanse, and manage customer data across various sources. Develop, test, and deliver modular ex...

Description Consultant Technical Analyst - Revenue Cycle and Claims Job Summary: o Works with stakeholders to discover, clarify, and document current and future data needs o Performs mapping of revenue cycle, clinical and claims data to a normalized data model. o Serves as a subject matter expert on the revenue cycle data domains such as Registration, Scheduling, Accounting and Billing, Cost Accounting and Claims o Builds data concepts to support Revenue Cycle and Claims use cases o Serves as a key resource for an assigned customer area to understand and explain business and technical issues and to provide viable technology solutions. Responsibilities: Act as a quality consultant and subject...

Overview Accelerate profitable online growth (eGrocery, Marketplaces, Quick Commerce, eB2B) by delivering digital shelf excellence and revenue analytics. Translate data from retailer portals, syndicated sources, and Retail Media Networks (RMN) into prioritized actions that improve revenues, conversion, and availability. Embed Perfect Digital Store (PDS) execution standards and automate performance management across customers and fulfillment models. Partner with BU Sales teams, Category teams, Revenue Management and Shopper/Marketing teams to translate data into action, automate reporting, and drive execution with customers. Responsibilities Channel performance analytics storytelling (dashboa...

Responsibilities Are you prepared to tackle a challenging position that merges your enthusiasm for data with outstanding product management abilities? Principal Global Services is seeking a Product Manager II to become part of our vibrant team in Pune This presents a distinctive chance to compose the direction of data-influenced decision-making in our company Job purpose : Make key data & metrics easily consumable for data-driven decision-making Gather, format, and present data and business context to create meaningful numeric and graphical summaries Function as a data subject matter expert, establishing data standards & requirements with data engineers Description Build & maintain data aggr...

Prudential s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed. Role and Responsibilities Design, develop and deliver the building of data pipelines across various integration points for the global Financia Data Layer (FDL) Create and maintain scalable data pipelines using Pyspark and ETL workflow...

Design, develop, and maintain scalable and efficient cloud-based data infrastructure using SQL and PySpark Collaborate with cross-functional teams to understand data requirements, identify potential data sources, and define data ingestion architecture Design and implement efficient data pipeline frameworks, ensuring the smooth flow of data from various sources to data lakes, data warehouses, and analytical platforms Troubleshoot and resolve issues related to data processing, data quality, and data pipeline performance Stay updated with emerging technologies, tools, and best practices in cloud data engineering, SQL, and PySpark Collaborate with data scientists, analysts, and other stakeholder...

Senior Data Engineer Job Description About JLL Technologies (JLLT): JLL Technologies is a specialized group within JLL that delivers unparalleled digital advisory, implementation, and services solutions to organizations globally We provide best-in-class technologies to bring digital ambitions to life by aligning technology, people, and processes Our goal is to leverage technology to increase the value and liquidity of the worlds buildings while enhancing the productivity and happiness of those who occupy them What the Job Involves: We are seeking a Senior Data Engineer who is a self-starter to work in a diverse and fast-paced environment as part of our Enterprise Data team This individual co...

GoldenSource India Pvt. Ltd is looking for Managed Services Consultant to join our dynamic team and embark on a rewarding career journey "Client Consultation: Serve as the primary point of contact for clients utilizing our managed services Conduct initial assessments to understand client needs, requirements, and objectives Provide expert advice and recommendations on the selection and implementation of managed services solutions to meet client goals Solution Design: Collaborate with clients and internal teams to design customized managed services solutions tailored to their specific needs Develop service-level agreements (SLAs), service catalogs, and implementation plans Ensure alignment bet...

Join us as a AVP Markets Surveillance & Optimization Analyst at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with market surveillance, as well as job-specific skillsets. To be successful as a AVP Markets Surveillance & Optimization Analyst , you should have experience with: A proactive approach to problem solving with a desire to be inquisitive in their analysis. Ability to work independently and in a team and/or fas...

Description Consultant Technical Analyst - Population Health and Care Management Job Summary: o Must demonstrate strong domain expertise, particularly in the Payor-Provider ecosystem, with a solid understanding of Medicare, Medicaid, and other relevant healthcare programs o Works with stakeholders to discover, clarify, and document current and future data needs o Performs mapping of Population Health and Care Management data to a normalized data model. o Serves as a subject matter expert on the Population health data domains such as Care Management, Utilization Management, Quality Scores, HEDIS, Care gaps o Builds data concepts to support Population Health use cases o Serves as a key resourc...

Ref #: W169233 Department: Data Analytics City: Bangalore State/Province: Karnataka Location: India Pay Range Max Pay Range Min Company Description Ralph Lauren Corporation (NYSE:RL) is a global leader in the design, marketing and distribution of premium lifestyle products in five categories: apparel, accessories, home, fragrances, and hospitality. For more than 50 years, Ralph Laurens reputation and distinctive image have been consistently developed across an expanding number of products, brands and international markets. The Companys brand names, which include Ralph Lauren, Ralph Lauren Collection, Ralph Lauren Purple Label, Polo Ralph Lauren, Double RL, Lauren Ralph Lauren, Polo Ralph Lau...

Join us as a Market Surveillance at Barclays, where youll spearhead the evolution of our digital landscape, driving innovation and excellence. Youll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences. You may be assessed on the key critical skills relevant for success in role, such as experience with market surveillance, as well as job-specific skillsets. To be successful as a Market Surveillance Specialist, you should have experience with : Stakeholder Management. Decision Making & Problem Solving. Strong Communication Skills. Essential Skills : Good Analytical Experience. Good Understanding in Surveillance. Strong understandin...

Job Summary This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists. Job Description Essential Responsibilities Lead the development and implementation of advanced data science models. Collaborate with stakeholders to understand requirements. Drive best practices in data science. Ensure data quality and integrity in all processes. Mentor and guide junior data scientists. Stay updated with the latest trends in data science. Expected Qualifications 3+ year...

This job will design, develop, and maintain data pipelines and architectures to support business needs. You will work with stakeholders to understand data requirements and deliver solutions. Your role involves ensuring data quality, optimizing data processes, and collaborating with cross-functional teams. Job Description Essential Responsibilities Design and develop data pipelines for efficient data collection and processing. Build and maintain scalable data storage solutions. Ensure data quality and consistency through validation and cleansing processes. Implement data transformation techniques to prepare data for analysis. Collaborate with cross-functional teams to understand data requirem...

Primary Skills Experience in Risk or finance technology area Strong SQL knowledge, involving complex joins and analytical functions Good understanding of Data Flow , Data Model and database applications working knowledge of Databases like Oracle and Netezza Decompose Existing Essbase Cubes(Understand cube structure and logic. Document all metadata and business rules. Prepare for migration or rebuild on modern platforms) Secondary Skills Conceptual knowledge of ETL and data warehousing, working knowledge is added advantage Basic knowledge of Java is added advantage. JD Seeking professionals with capability to perform thorough analysis and articulation of risk or Finance Tech model data requir...

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems At PwC, you will be part of a vibrant community of solvers that l...

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients They play a crucial role in transforming raw data into actionable insights, enabling informed decisionmaking and driving business growth In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions At PwC, you will be part of a vi...

We are looking for an experienced Azure Data Fabric Engineer to join our data engineering team. The ideal candidate will have strong hands-on experience in Microsoft Fabric , Azure Data Factory , and end-to-end data engineering across the Azure ecosystem. The role involves designing and implementing scalable data pipelines, building data lakehouse solutions, and ensuring data quality, performance, and governance across the platform. Key Responsibilities Design, develop, and implement end-to-end data engineering solutions using Microsoft Fabric (Data Engineering, Data Factory, Data Warehouse, Real-Time Analytics, Power BI). Build and maintain data pipelines following medallion architecture (B...