Data Analyst, Transformative Change – Disputes, Claims & Investigations

Role Overview

As a Data Analyst in Stout’s Transformative Change practice, you’ll turn complex structured and unstructured information into clear, accurate analyses and accessible visualizations. Your work will help teams and clients understand data quality, identify relationships across information sources, and make informed decisions in support of transformative change initiatives.

What You Will Do

Identify, normalize, and analyze large structured and unstructured datasets, including data limitations and quality issues. Use business intelligence tools, including Tableau, to build robust visualizations and practical client-facing tools.

Why It Might Be a Fit

Strong attention to detail and ability to troubleshoot data quality issues, reconcile discrepancies, and ensure data accuracy and completeness. Strong quantitative and qualitative research skills, with the ability to analyze complex data and financial or operational documents.

Requirements

• Bachelor’s degree in data science, computer science, information technology, mathematics, accounting, economics, finance, or a related field.
• 1–3 years of experience in data analytics, problem-solving, coding, or related work.
• Proficiency with Tableau; Tableau Desktop Specialist or Tableau Certified Data Analyst credential preferred, not required.
• Proficiency in SQL and database management, including table creation, data imports and transformation, coding, and querying.
• Experience with ETL processes and working in a team-oriented environment.
• Python programming experience preferred, not required.

Benefits

• Competitive compensation
• Benefits
• Wellness options
• Flexible work schedules
• Discretionary time off policy

Tagged as: Data Analysis