Senior Data Quality Analyst I

Position Summary

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)

Knowledge, Skills and Abilities

Education

Bachelor’s degree in computer science, information technology or equivalent educational qualification

Technical Skills and Experience

8-10+ years of relevant experience

SQL

Azure Data Services (data factory,synpase)

Data quality testing tools such as Atacamma(web & Desktop), IDQ, ETL tools like Tosca

Data profiling, cleansing and anomaly techniques

Understand Datamart, Data lake and Data Warehouse

Mentorship experience

Experience working with large data states in On-Prem and Cloud environments

Communication skills, analytical skills, structured problem-solving skills

Storytelling, Partner, Stakeholder engagement experience

Good to Have (Preferred)

Exposure to Gen AI technology and tools

NO-SQL databases, HIVE

Banking Financial Services and Insurance domain knowledge

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.

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!