Senior Associate, Advanced Analytics

Senior Associate, Advanced Analytics

Company: New York Life Insurance Company

Designation: Fully Onsite

Address: 44 South Broadway, White Plains, NY 10601

$/year

• Analyze and interpret data in line with business goals and deliver value by using data to answer questions and communicate results through impactful visualizations.
• Provide timely information to support senior leadership in decision‑making through dashboards for a wide range of personnel in the organization.
• Provide direction to data technical teams concerning how to implement an enterprise‑wide business intelligence (BI) tool.
• Present large amounts of information in ways that are universally understandable or easy to interpret and spot patterns, trends, and correlations.
• Oversee visualization for data mining, presentation, and dashboard development.
• Conduct research for data issues and reports and translate business requirements into technical specifications.

Master’s degree in Computer Science, Information Technology or related field (willing to accept foreign education equivalent) and three (3) years of experience as a Senior Associate, Advanced Analytics or related occupation performing end‑to‑end data analytics and designing data warehouse solutions, including testing, migration, administration, security management, and production support in the finance or insurance industry. Alternatively, a Bachelor’s degree in Computer Science, Information Technology or related field (willing to accept foreign education equivalent) and five (5) years of experience as a Senior Associate, Advanced Analytics or related occupation performing end‑to‑end data analytics and designing data warehouse solutions, including testing, migration, administration, security management, and production support in the finance or insurance industry.

Experience must include 3 years in all components of each of the following skills:
Creating complex dashboards and key performance indicators (KPIs) using 2 or more of the following business intelligence (BI) tools:
Tableau, Spotfire, Salesforce or SAP Crystal Reports;
Designing and developing data pipelines to extract, transform, and load (ETL) data from Data Hub into TOAD for Oracle or similar SQL‑based relational databases including AWS Redshift, SQL Server, Postgre

SQL or Dremio;
Gathering and translating business requirements into technical specifications using JIRA, Confluence and Agile for backlog grooming, sprint planning, and effort estimation;
Creating and collaborating on deployment plans and managing design specification documents using Git, Subversion (SVN), Asana, and Bitbucket;
Analyzing multiple data sources using SQL Server, Dremio, Snowflake, and Postgre

SQL to blend data into creative dashboards and migrate dashboards from on‑prem Tableau Server to Tableau Cloud; and Performing data mining to identify data issues, conduct in‑depth statistical analysis of qualitative and quantitative data using Python, R, and AI/ML methodologies, and transforming and modifying data using AWS Redshift, Postgre

SQL, Tableau, TOAD and SAP Crystal Reports. Eligible for Employee Referral Program.

Overtime eligible:
Exempt
Discretionary bonus eligible:
No
Sales bonus eligible:
No
Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

At New York Life, our 180‑year legacy of purpose and integrity fuels our future. As we evolve into a more technology‑, data‑, and AI‑enabled organization, we remain grounded in the values that drive lasting impact. Our diverse business portfolio creates opportunities to make a difference across industries and communities—inviting bold thinking, collaborative problem‑solving, and purpose‑driven innovation. Here, you’ll find the rare balance of long‑standing stability and forward momentum, supported by an inclusive team that honors tradition while embracing progress.

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