Senior Data Analyst

Fractal is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets; an ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work Institute and recognized as a 'Cool Vendor' and a 'Vendor to Watch' by Gartner.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Job Posting Title: Data Analyst – Leak Smarter Initiative

Location: Dallas TX (Hybrid)

Overview

The Data Analyst will play a key role in supporting the Leak Smarter initiative by managing and analyzing complex healthcare distribution and operational data sets. This role requires strong analytical skills, attention to detail, and the ability to collaborate across multiple teams to deliver actionable insights that help reduce leakage and improve business performance and clawback the lost revenue.

Responsibilities

• Collect, clean, and analyze large datasets related to leakage, customer behavior, and operational performance.
• Develop dashboards and reports to track leakage metrics and trends.
• Partner with cross-functional teams (Sales, Finance, Operations, Compliance) to identify leakage drivers and recommend mitigation strategies.
• Support ETL processes and ensure data integrity across systems such as Snowflake and IQVIA.
• Contribute to defining common leakage language and metrics for enterprise-wide adoption.
• Assist in data governance initiatives and ensure compliance with internal standards.

Skills

• Advanced SQL and data manipulation techniques
• Strong knowledge of data visualization tools (Power BI, Tableau)
• Experience with Python or R for statistical analysis
• Understanding of ETL processes and data pipelines
• Familiarity with cloud data platforms (Databricks, Snowflake, Azure)
• Ability to interpret complex datasets and present actionable insights
• Excellent communication and collaboration skills
• Strong attention to detail and data quality assurance

Pay:

The wage range for this role takes into