Data Analyst: Python & SQL Reporting for Clients

United States Digital Space LLC; United States; Remote; USD 77,000 - 134,000; Full time

Benefits offered by this job

Medical, dental, vision offerings for你

401k with matching

Employee stock purchase plan

Family planning support, childcare FSA

Life, AD& D, and disability

Generous time off, holidays

Wellness benefits

Job summary

United States Digital Space LLC is seeking a Data Analyst for the Reporting Partnerships team in the United States. The role entails generating physician-level reporting and building Python scripts to power client measurement across demand and analytics initiatives.

You will QA scripts, answer SQL/Python questions, and craft comprehensive Python- and SQL-based reports for clients, with a focus on accuracy and timely delivery.

Qualifications

• At least 2 years of professional experience in business analytics or performance reporting.
• Excellent SQL skills to create and evaluate complex statements with multiple data relationships.
• Fluency in Python with hands-on experience building, maintaining, and debugging data processing/reporting scripts.

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 serve as a point-of-contact for teammates’ SQL and Python questions to raise code quality and consistency.
• Create and maintain both Python and SQL-based aggregate reports as needed.

Skills

Python scripting

SQL

Client-facing

Attention to detail

Deadline management

Tools

SQL databases

Python

Job description

United States Digital Space LLC is seeking a Data Analyst for the Reporting Partnerships team in the United States. The role entails generating physician-level reporting and building Python scripts to power client measurement across demand and analytics initiatives.

You will QA scripts, answer SQL/Python questions, and craft comprehensive Python- and SQL-based reports for clients, with a focus on accuracy and timely delivery.