Data
Introduction and Overview
Welcome to Data at Pair Team!
For a comprehensive overview of our team's mission, objectives, scope, and operating model, see the full Data Team Charter.
Mission and Vision
Our mission is to deliver timely, accurate data and insights that enable every team at Pair Team to improve care quality for vulnerable patients, improve efficiency of the care team, and drive strategic growth.
We envision a data-driven Pair Team where every decision—from daily operations to strategic initiatives—is powered by insights, not intuition.
Key Objectives
- Build a Data Culture – Ensure all key initiatives are backed by data and insights in order to drive outcomes
- Be a Strategic Partner – Earn our seat at the table by partnering with stakeholders to identify the right problems and drive strategy, not just execute requests
- Enable Self-Service – Accelerate decision-making by empowering every team to access and understand data independently through intuitive tools, training, and documentation
- Build Unshakeable Trust – Become the trusted source of truth through data protection & governance, reliability & quality, and education & transparency
Scope
The Data Team reports into Product and serves as the center for enterprise analytics, data science, data infrastructure, and governance. We are responsible for:
- Enterprise data strategy
- Building trusted data models in DBT
- Enabling self-service capabilities through Looker's semantic layer
- Maintaining the Snowflake warehouse
- Ensuring data quality
- Advanced analytics including machine learning, causal inference, and research publications
We partner closely with the BizOps team (which reports into Operations) to balance enterprise-scale infrastructure with agile, department-specific analysis.
Team
| Name | Role | |
|---|---|---|
| Luke Mueller | Manager, Analytics Platform | luke@pairteam.com |
| Noah Ford | Senior Data Scientist | noah.ford@pairteam.com |
Resources
High Level Resources
- Analytics platform visualization/figjam: link
- Pair Team Pair Hub: https://sites.google.com/pairteam.com/pairpage/welcome
Git Repos
- analytics-etl: our DBT repo, where data sources are brought together and transformed into the dbt_prod database that Looker Golden Explores read from
- looker: the semantic layer / BI tool for Pair Team
- data-science: lightweight repo for various data science projects
Slack Channels
- #data-alerts: automated alerts for failures in the DBT pipeline or other data issues
- #pod-data: our team channel, where we post feature releases and host public discussions
- #support-biz-ops: where we collaborate with BizOps on support tickets across the organization
- #team-rnd: Product + Engineering + Data shared team channel
- #data-blog: a place to publicly post analyses out to the whole company
Ticketing
All work is tracked via Asana