Sr. BI Engineer

At MyFitnessPal, we believe good health starts with what you eat. We provide tools, resources and support to enable users to reach their health goals.

We are looking for a product-minded BI Engineer to join the MyFitnessPal Business Intelligence team. As a Sr. BI Engineer, you will be an expert on MyFitnessPal KPI reporting and play a key role in making the MyFitnessPal data environment amenable to self-service via Tableau. The Business Intelligence team is a great place to be at MyFitnessPal. We are on the pulse of the business as we are responsible for KPIs, Monitoring and Alerts, AB Testing, Data Democratization, and Strategic Insights.

What you’ll be doing:

Perform regular maintenance to maintain the quality of our data; in particular, take ownership of our reporting data pipeline and business logic

Manage complexity when data sources tell different stories

Diagnose changes in KPIs and help identify drivers

Create clear and easy-to-understand analysis and recommendations

Ensure scalability, reliability, and efficiency in BI infrastructure

Perform deep-dive analytics on ad-hoc requests from stakeholders across the organization

Build and maintain dashboards, reports, and visualizations to provide actionable insights on MyFitnessPal users

Architect data models to further our data democratization efforts and contribute to our reporting “curated zone” architecture

Develop strong relationships with our partners in Data Engineering to manage projects that unlock data for the BI team

Most importantly, be a trusted partner to our marketing and product BA teams and the core business functions they support

Qualifications to be successful in this role:

4-6 years in a BI Engineering or Analytics Engineering role. Equivalent technology industry experience within business intelligence, analytics, or data engineering functions will be considered

Advanced to Expert SQL

Proficiency with data visualization using tools like Tableau, Power BI, or Looker

Familiarity with programming languages like Python or R for analytics

Experience building data warehouses and modeling data through ETL pipelines (e.g. Snowflake, Redshift, BigQuery)

Experience with project management and supporting relationships with cross-functional stakeholders (Product, Data Engineering)

Ability to understand business needs and translate them into technical solutions

Curious Mindset - We are looking for someone who enjoys seeking the truth through data - if you ever found yourself bringing in out-of-the-box datasets and theories because you just had to figure out why a number moved, this is the job for you

MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.) or equivalent experience

Preferred Qualifications: