Data Analyst, Client-Facing Reporting — Remote

Mosaec; San Francisco (CA); On-site; USD 77,000 - 134,000; Full time

Benefits offered by this job

Medical, dental, vision

401k with matching

Employee stock purchase plan

Family planning support & childcare

Life, AD&D, and Disability

Generous time off

Wellness benefits

Job summary

Doximity is seeking a Data Analyst on the Reporting Partnerships team to generate physician-level reporting that powers client measurement and analysis. This role can be based in our San Francisco headquarters or fully remote in the U.S.

You’ll develop Python-based reporting, craft SQL queries, and collaborate with clients to translate insights into actionable data products. The position emphasizes accuracy, automation, and scalable analytics.

Qualifications

• At least 2 years of professional experience in business analytics or performance reporting.
• Excellent SQL skills to create and evaluate complex statements involving numerous tables and data relationships.
• Fluency in Python, with hands-on experience building, maintaining, and debugging scripts for data processing or reporting.
• Experience stepping into client-facing roles, translating technical solutions for non-technical audiences.

Responsibilities

• Generate and maintain Python-based client reporting used to power client measurement.
• Deliver new Python scripts for reporting use cases, from adapting existing client templates to building custom client scripts end-to-end.
• Conduct daily QA and act as a point-of-contact for teammates’ SQL and Python questions, helping raise code quality and consistency.
• Create and maintain both Python and SQL-based aggregate reports as needed.

Skills

SQL

Python

Client-facing

Attention to detail

Ownership mindset

Job description

Doximity is seeking a Data Analyst on the Reporting Partnerships team to generate physician-level reporting that powers client measurement and analysis. This role can be based in our San Francisco headquarters or fully remote in the U.S.

You’ll develop Python-based reporting, craft SQL queries, and collaborate with clients to translate insights into actionable data products. The position emphasizes accuracy, automation, and scalable analytics.