Data Analyst to $3000 Offline

The Data Science team at Noom (www.noom.com) is seeking a mid-level Data Analyst Contractor to help operationalize and expose key business data for dashboarding and reporting needs across the company.

Noom is more than just a health-tech company — it's a mission-driven organization that has helped over 50 million users worldwide build healthier habits through science-backed behavioral psychology. Backed by $650M+ in funding and recognized by Forbes as one of America's Best Startup Employers, Noom is scaling rapidly. If you're looking to work on a product that genuinely changes lives — this is the place.
 

The Data Science team currently consists of 4 other BI Engineers, who work together to tackle a variety of projects each week. 
 

“Product” at Noom covers all their in-app programs and features (including Noom Med!), as well as our Growth efforts (i.e., how they position and price their different product offerings!). 
 

Key Responsibilities:

• Data Pipelines & Aggregation (≈80%)

  - Locate, clean, and aggregate data from multiple sources (Redshift, Databricks, spreadsheets, etc.)

  - Design and operationalize automated data pipelines for consistent delivery of data to dashboards

  - Ensure data quality, consistency, and documentation across systems

• Dashboard Development (≈20%)

  - Build and maintain dashboards in Looker (or similar BI tools)

  - Translate raw data into structured, business-friendly datasets ready for visualization

  - Collaborate with stakeholders to define key data requirements and metrics

• Cross-team Collaboration

  - Partner with the Data Science and Engineering teams to align on schema, definitions, and sources

  - Support internal teams by improving access to reliable, aggregated data
   

Requirements:

• Strong proficiency in SQL (data modeling, joins, window functions, optimization)
• Solid experience with Python for data transformation and pipeline automation
• Familiarity with Looker or another BI visualization tool (e.g., Tableau, Power BI, Mode)
• Understanding of ETL / ELT workflows and principles of data quality
• Comfortable working across different data environments (Redshift, Databricks, Google Sheets, etc.)
• Excellent attention to detail and sense-checking skills before sharing data

• Strong English level: ability to collaborate with both technical and non-technical stakeholders

   

What We Offer:

• Strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance