The Data Science team at Noom (www.noom.com [http://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%)
* Design and operationalize automated data pipelines for consistent delivery
of data to dashboards
* Ensure data quality, consistency, and documentation across systems
* Locate, clean, and aggregate data from multiple sources (Redshift,
Databricks, spreadsheets, etc.)
Dashboard Development (≈20%)
* Translate raw data into structured, business-friendly datasets ready for
visualization
* Collaborate with stakeholders to define key data requirements and metrics
* Build and maintain dashboards in Looker (or similar BI tools)
Cross-team Collaboration
* Support internal teams by improving access to reliable, aggregated data
* Partner with the Data Science and Engineering teams to align on schema,
definitions, and sources
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