Senior Associate - Analytics Engineer

New York Life is hiring an Analytics Engineer for its Enterprise Intelligence Data Services team. The role develops and maintains data transformations, models, quality checks, documentation, reports, and dashboards that support enterprise analytics and decision-making.

Responsibilities

• Data Transformation & Modeling: Contribute to the development of data transformation logic and maintain existing data models using dbt and SQL. Write and optimize SQL queries for data transformation and analysis to support accurate, accessible, and actionable data
• Data Quality & Documentation: Assist in implementing and maintaining data quality checks and testing procedures. Contribute to documentation of data models, transformations, and business logic to support consistency, reliability, and maintainability
• Analytics & Reporting: Develop and maintain reports and dashboards using visualization tools to surface actionable insights. Support the delivery of business and operational metrics in partnership with Analytics and senior team members
• Cross-Functional Collaboration: Work jointly with team members and stakeholders to accomplish shared outcomes. Participate in cross-functional meetings to understand business requirements and translate them into data needs
• Team Collaboration & Growth: Build collaborative relationships across engineering and analytics teams, contributing to shared outcomes and the continued development of enterprise intelligence capabilities

Preferred

• Experience with dbt or similar data transformation tools
• Exposure to cloud data platforms such as GCP, AWS, Databricks, or BigQuery
• Experience with BI and visualization tools such as Looker, Tableau, or similar platforms
• Interest in AI, machine learning, and enterprise intelligence applications
• dbt
• Data Transformation Tools
• GCP
• AWS
• Databricks
• BigQuery
• BI Tools
• Data Visualization
• Looker
• Tableau
• Artificial Intelligence
• Machine Learning
• Enterprise Intelligence Applications

Benefits

• Hybrid work arrangement: 3 days per week.
• Leave programs.
• Adoption assistance.
• Student loan repayment programs.
• Employees are eligible for an annual discretionary bonus.
• Employees may also be eligible to participate in an incentive program.

Company

• Life insurance and financial services provider
• New York, New York, USA
• https://www.newyorklife.com/
• Founded in 1845
• 10001+ employees

Qualifications

• 1–3 years of experience in analytics engineering, data engineering, or a related field
• Proficiency in SQL, including writing and optimizing queries for data transformation and analysis
• Familiarity with data warehousing concepts and analytics best practices
• Strong attention to detail and commitment to data quality, accuracy, and reliability
• Ability to work collaboratively in a fast-paced, team-oriented environment, building effective relationships across engineering, analytics, and business teams
• Experience with dbt or similar data transformation tools
• Exposure to cloud data platforms such as GCP, AWS, Databricks, or BigQuery
• Experience with BI and visualization tools such as Looker, Tableau, or similar platforms
• Interest in AI, machine learning, and enterprise intelligence applications
• 1–3 years of experience in analytics engineering, data engineering, or a related field.

Required skills

• SQL, Data Warehousing, dbt, GCP, AWS, Databricks, BigQuery, Looker, Tableau

Preferred skills

• Experience with dbt or similar data transformation tools

Experience

• 1+ years