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Senior Lead Business Systems Analyst
Senior Lead Business Systems Analyst-January 2024
Virtual
Jan 9, 2026
ABOUT METLIFE
MetLife is a provider of insurance, employee benefits, and financial services .
10,000+ employees
Insurance
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About Senior Lead Business Systems Analyst

  Senior Lead Business Systems Analyst

  General Information

  City/Cities

  Cary

  State(s)

  North Carolina

  Country

  United States

  Working Schedule

  Full-Time

  Work Arrangement

  Hybrid

  Relocation Assistance Available

  No

  Posted Date

  11-Jan-2024

  Job ID

  1265

  Description and Requirements

  Role Value Proposition:

  MetLife Data & Analytics organization is the team of expert analysts and technologists responsible for building big data platforms and data services with innovative technologies to enable MetLife businesses to generate insights, and value to its customers. The team is the center of excellence in data engineering in MetLife and plays a key role in data enablement through multiple data stores, supporting different kind of analytical use cases to be able to derive predictive, prescriptive, and descriptive insights.

  The BSA serves as the data expert and acts as the backbone to the analytics life cycle, responsible for requirement gathering and solutioning. The individual will collaborate with all the stakeholders of the project (technical leads, build team, project managers and business/operations teams) in building data enablement solutions across different LOBs and use cases.

  Key Responsibilities:

  Work with business/data scientists to translate given business problem into analytical solution with defined outcomes.

  Analyze the data in depth, using SQLs and other exploratory tools against various platforms such as Bigdata, Oracle, SQL Server and others.

  Convert business requirements to functional requirements, with detailed transformation rules for ETL team. This is a very technical hands-on role and is responsible for the functional design of the end-to-end process.

  Understand the true problem statement/requirements of the business and be able to propose multiple solution options.

  Work closely with the ETL and data science teams to review the requirements and data integrations.

  Understand the requirements from Business and Data Science. Understand the business and business impact on use cases.

  Write validation scripts to validate the data loaded by data engineering team.

  Work with IT, business, and architects to develop and design requirements to formulate technical design.

  Skills to understand the right functional domain knowledge of the business to be able to gather right requirements for the design.

  Capture meta data, data lineage, reference data management and data quality rules as part of data governance.

  Lead the team, including stakeholders, spread across the globe in driving the delivery of projects.

  Lead/mentor other analysts within the team and/or organization.

  Required Skills/Knowledge:

  Bachelor’s degree in computer science, Engineering, or related discipline.

  10+ years of solutions development experience, including 5+ years in data management/engineering organization.

  Proficient understanding of distributed computing principles.

  Extensive experience in data analysis and data modeling (table design).

  Proficiency in SQLs and data exploratory tools.

  Extensive experience writing functional requirements and high-level design documents, data-flow diagrams, etc.

  Experience in writing validation scripts to validate the data, data integrations and ETL transformations.

  Analytical skills to analyze situations and come to optimal and efficient solution based on requirements.

  Extensive data analysis and profiling skills. Strong analytical skills related to working with unstructured datasets.

  Data warehouse concepts.

  SQL knowledge and data analysis skills for data anomaly detection and data quality assurance.

  Excellent communication skills, both written and verbal.

  Strong leadership and negotiation skills.

  Preferred:

  Experience working on DataLake using BigData & Azure ecosystems.

  Strong background or working experience in Insurance Industry.

  Ability to interact with senior leadership teams in IT and business

  Equal Employment Opportunity/Disability/Veterans

  If you need an accommodation due to a disability, please email us at [email protected]. This information will be held in confidence and used only to determine an appropriate accommodation for the application process.

  MetLife maintains a drug-free workplace.

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