Senior Data Quality Analyst I

MetLif; Pune District; On-site; INR 600,000 - 900,000; Full time

Job summary

MetLife in India operates MGCC in Pune to scale Data & Analytics capabilities and deliver trusted data and insights. The Data Quality Analyst role is critical in the data lifecycle and significantly contributes to ensuring production-grade data quality and analytics solutions.

The role mentors Data Quality Analysts and is an individual contributor. It requires expertise in data profiling, validation, and quality reporting, with the ability to lead design, solutioning and estimations while

Qualifications

• Strong expertise in data profiling, validation and quality reporting.
• Experience with data quality checks across lifecycle stages.

Responsibilities

• Build and maintain validation rules/test cases for data quality.
• Perform DQ checks at lifecycle stages (unit, integration, UAT).
• Perform profiling to detect data anomalies.
• Create and maintain data quality artefacts.
• Collaborate with Business, Technology, Operations and D&A capabilities.
• Independently lead design, solutioning & estimations.
• Mentor Data Quality Analysts.
• Collaborate with Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights.

Skills

Data profiling

Data validation

Data quality monitoring

Quality reporting

Mentor DQ Analysts

Job description

MetLife established a Global capability center (MGCC) in India to scale and mature Data & Analytics, technology and operations capabilities in a cost-effective manner and make MetLife future ready. The center is integral to Global Technology and Operations with a focus to protect & build MetLife IP, promote reusability and drive experimentation and innovation. The Data & Analytics team in India mirrors the Global D&A team with an objective to drive business value through trusted data, scaled capabilities, and actionable insights. The operating models consists of business aligned data officers- US, Japan and LatAm & Corporate functions enabled by enterprise COEs- data engineering, data governance and data science

Role Value Proposition

Data Quality Analyst plays a critical role in data and analytics life cycle and significantly contributes to ensuring data quality of production grade data and analytics solutions. The role requires one to demonstrate expertise in data profiling, validation, data pipeline monitoring and quality reporting.This role mentors Data Quality Analysts. It is an individual contributor role, expected to solve wide ranging business problems, It is an individual contributor role.

Job Responsibilities

• Build and maintain validation rules/test cases to ensure quality of data on variety of dimensions: accuracy, completeness, consistency and timeliness
• Perform DQ checks at various lifecycle stages e.g. (unit testing , intergration testing, user acceptance testing)
• Perform profiling to detect anomalies
• Create and maintain data quality artefacts
• Collaborate with multiple partners from Business, Technology, Operations and D&A capabilities (Data Governance, BSA, Data science, Data Platforms, BI)
• Independently lead design, solutioning & estimations
• Mentor DQ Analysts
• Collaborate with multiple partners from Business,Technology , Operations and D&A capabilities (Data Governance, Data Quality, Data Modeling, Data Architecture, Data science, DevOps, BI & insights)

About MetLife

Recognized on Fortune magazine's list of the "World's Most Admired Companies" and Fortune World’s 25 Best Workplaces™, MetLife, through its subsidiaries and affiliates, is one of the world’s leading financial services companies; providing insurance, annuities, employee benefits and asset management to individual and institutional customers. With operations in more than 40 markets, we hold leading positions in the United States, Latin America, Asia, Europe, and the Middle East. As part of our New Frontier strategy, MetLife is building an AI-enabled, people-centered future. We’re looking for people who bring curiosity, adaptability, and a growth mindset as we use AI to enhance how we serve customers, support communities, and evolve the way work gets done. At MetLife, AI is a responsible partner that supports human judgment, creativity, and continuous improvement while helping us build trust, inclusion, and long‑term value. Our purpose is simple - to help our colleagues, customers, communities, and the world at large create a more confident future. United by purpose and guided by our core values - Win Together, Do the Right Thing, Deliver Impact Over Activity, and Think Ahead - we’re inspired to transform the next century in financial services. At MetLife, it’s #AllTogetherPossible .Join us!