Senior Associate, Analytics Engineer

New York Life is seeking a Senior Associate, Analytics Engineer to help shape scalable analytics solutions within the Enterprise Intelligence Platform. Based in New York, NY with a hybrid work arrangement, you will collaborate with data engineers, data scientists, and business stakeholders to deliver datasets and pipelines that underpin reporting, analytics, and AI driven decision making across cloud environments.

Responsibilities

• Create and refine scalable dbt transformation pipelines and analytic data products across cloud data platforms, delivering trustworthy datasets, dimensional models, feature tables, and business ready data assets for reporting, analytics, and AI applications.
• Own data products through their lifecycle, including source alignment, modeling, testing, documentation, deployment, monitoring, and ongoing improvement to ensure performance, reliability, governance, and downstream usability.
• Advance data quality, observability, and governance practices through automated testing, source freshness validation, lineage documentation, metadata management, and adherence to enterprise data standards.
• Contribute to analytics engineering platform capabilities by building reusable dbt macros, modeling patterns, semantic layer definitions, and automation accelerators that boost consistency, scalability, and delivery speed across teams.
• Collaborate with business stakeholders, data stewards, engineers, and data scientists to translate requirements into well defined solutions, address data challenges, support Agile delivery, and promote analytics engineering best practices through mentorship and code reviews.

Requirements

• Bachelor's degree and at least four years of progressive experience in data engineering, analytics engineering, or a related field, focused on production scale data transformation and analytics platforms.
• Strong SQL expertise including complex joins, window functions, common table expressions, query optimization, and large scale data transformation patterns, plus Python proficiency for data engineering tasks.
• Hands on experience with dbt, covering layered modeling, incremental processing, source definitions, testing frameworks, reusable macros, documentation, and multi environment deployment strategies.
• Experience with modern cloud data platforms such as Databricks and BigQuery, with solid understanding of ELT architectures, dimensional modeling, and analytic data product design.
• Knowledge of software engineering best practices, including Git workflows, code reviews, CI/CD integration, automated testing, and Agile delivery methodologies.
• Strong communication, problem solving, and stakeholder management skills, with the ability to translate business requirements into scalable technical solutions and collaborate across technical and non technical teams.

Technologies

• dbt
• SQL
• Python
• Databricks
• BigQuery
• Git
• CI/CD
• Looker LookML
• dbt Semantic Layer
• MetricFlow
• Monte Carlo
• Dataplex
• DataHub
• Alation

Benefits

• leave programs
• adoption assistance
• student loan repayment programs

Pay Transparency

• Salary Range: USD 124,000 - 177,000 per year
• Overtime eligible: Exempt
• Discretionary bonus eligible: Yes
• Sales bonus eligible: No
• Notes: 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.