Senior Analytics Engineer, Integrity

Role Overview

The NBA’s Basketball Strategy & Growth department is seeking an analytics engineer to own the ingestion and transformation of data that powers the Integrity Team’s work on the league’s gaming policy. The role is responsible for turning disparate and inconsistent external feeds into well-modeled, tested, and documented datasets.

What You Will Do

Own the ingestion of data from disparate betting partners, operators, and data vendors, and normalize them into a consistent, conformed model of markets, wagers, prices, and accounts. Develop production-ready analytical data models in dbt on Snowflake, applying dimensional modeling and analytics engineering best practices.

Why It Might Be a Fit

The work is confidential, frequently time-sensitive, and expected to hold up to legal scrutiny. The analytics engineer joins a team of data scientists, engineers, and basketball experts and collaborates closely with the Legal department on any investigation relating to a potential violation of the gaming policy.

Requirements

• Advanced SQL skills with demonstrated experience developing complex analytical data models
• Production experience with analytics engineering frameworks such as dbt
• Production experience with Snowflake, including performance and cost management
• Strong understanding of dimensional modeling, data warehousing, and analytics engineering best practices
• Understanding of sports betting markets and basketball data
• Proficiency in Python for ingestion, API integration, and data processing
• Experience integrating data from multiple external partners or vendors
• Experience building and operating orchestrated data pipelines
• Experience developing semantic layers and reusable analytical datasets
• Experience implementing automated data quality testing and monitoring

Benefits

• Medical insurance
• Dental insurance
• Vision insurance
• Life/AD&D insurance
• Short- and long-term disability insurance
• Fertility and family-forming assistance
• Wellbeing allowance
• Educational assistance
• Mental health coaching/therapy
• Tax-advantaged accounts such as HSA and healthcare/dependent care FSAs
• 401(k) retirement plan
• Time off benefits

Tagged as: Python, Snowflake, SQL