New York Life Insurance Company · 5 days ago

Senior Associate, Data Analyst

Lebanon, NJ

Full-time

Hybrid

Senior Level

$148K/yr - $148K/yr

3+ years exp

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FinanceFinancial Services

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Insider Connection @New York Life Insurance Company

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Defines authoritative sources and systems of record and anomaly discovery.

Performs root cause and gap analysis.

Engages with Application and Testing teams across the organization to understand data requirements, flows, entities, and relationships.

Works with business teams to develop KPIs, metrics logic, and business rules.

Defines metadata and functional data model requirements.

Consults on defining enterprise sources and building physical data models.

Supports the definition of test scenarios and prepares test scripts to support business and technology teams in end-to-end Quality Assurance (QA) testing efforts.

Leads business user testing and validation and triages defects.

Reverse engineers mainframe applications.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLOracleToadHadoopCOBOLPL/JCLPythonWaterfallAgileSDLCSystem TestingLife InsuranceAnnuity DataData FlowETLETL Tools

Required

Master's degree in Computer Science, Information Technology or related field (willing to accept foreign education equivalent) plus three (3) years of experience performing data analysis and reverse engineering within mainframe and Oracle applications, tools, and technologies.

Bachelor's degree in Computer Science, Information Technology or related field (willing to accept foreign education equivalent) and five (5) years of experience performing data analysis and reverse engineering within mainframe and Oracle applications, tools, and technologies.

Experience must include 1 year in each of the following skills:

Programming and coding applications leveraging SQL, Oracle, Toad, Hadoop, COBOL, PL/1, JCL, and Python;

Performing software development implementations leveraging Waterfall and Agile software development life cycle (SDLC) methodologies;

Performing system test planning, and executing test scenarios for unit, integration, and user acceptance testing (UAT);

Working with life insurance and annuity data in the life insurance domain; and,

Building data flow channels and processing systems to extract, transform, load (ETL), and to integrate data from multiple sources using ETL tools.