Senior Analyst, Analytics — Enterprise Reporting

What You'll Do:

• Own enterprise reporting end-to-end: define requirements, model the data, build the dashboards, and maintain them over time

• Build and maintain dbt models that create a reliable, well-documented semantic layer for reporting across the business

• Develop and maintain dashboards and self-serve reporting tools (Omni/Looker/Tableau) that reduce ad hoc requests and let stakeholders answer their own questions

• Partner with Data Engineering on data pipeline and warehouse structure to ensure reporting is built on trustworthy, scalable foundations — not workarounds

• Establish and enforce definitions, metrics, and reporting standards so numbers are consistent across teams and dashboards

• Audit and rationalize existing reports and dashboards to reduce redundancy and reporting drift

• Partner with cross-functional stakeholders (Product, Marketing, Ops, Finance) to understand reporting needs and translate them into scalable data models

• Troubleshoot data quality and discrepancy issues, tracing them back to source and fixing at the model level

• Document data models, metric definitions, and reporting logic so institutional knowledge doesn't live in one person's head

• Own a high-visibility function that shapes how the entire company sees and understands its own data
• Direct partnership with the Head of Analytics and exposure to cross-functional leadership
• Growth opportunities within a mission-driven organization investing in scalable, self-serve data infrastructure

Who You Are:

• 4 to 6 years of experience in analytics, business intelligence, or data analytics roles

• Bachelor's degree in a quantitative field (Statistics, Economics, Computer Science, or related) or equivalent experience

• Strong SQL skills; comfortable writing and optimizing complex queries against large datasets

• Hands-on experience with DBT for data modeling and transformation (required)

• Proficiency with a BI tool such as Omni, Looker, or Tableau — including building, maintaining, and scaling dashboards for a broad user base

• Demonstrated ability to build self-serve reporting systems, not just deliver one-off analyses

• Strong data modeling instincts — able to design schemas and metrics layers that hold up as the business scales

• Excellent communication skills; able to work directly with business stakeholders to translate ambiguous needs into clear data solutions

• Detail-oriented, with a track record of owning data quality and consistency across reporting

Nice to Have:

• Experience with a modern data warehouse ((Snowflake, BigQuery, Databricks)
• Familiarity with Python for data validation, automation, or pipeline work
• Prior experience in healthcare, DTC, or a high-growth startup environment