Data Analyst, Transformative Change – Disputes, Claims & Investigations

At Stout, we’re dedicated to exceeding expectations in all we do – we call it Relentless Excellence ®. Both our client service and culture are second to none, stemming from our firmwide embrace of our core values: Positive and Team-Oriented, Accountable, Committed, Relationship-Focused, Super-Responsive, and being Great communicators. Sound like a place you can grow and succeed? Read on to learn more about an exciting opportunity to join our team.

Stout's Transformative Change practice combines data analysis, research, strategy, and operational experience to help clients achieve sustainable change in complex environments. The practice helps clients meet financial objectives, implement strategic initiatives, address compliance requirements, and evaluate impact.

Engagements may focus on designing, implementing, and improving programs, policies, and operational processes for clients, including government entities and nonprofit organizations. We work with nonprofit legal organizations, pro bono counsel, government entities, and court-appointed monitors on matters involving housing, education, disability rights, public benefits, immigration, family and child rights, and related civil rights and system reform issues.

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.

• Translate complex data into understandable visualizations and client-ready findings.
• Support data collection, monitoring, and visualization for collaborative, multi-stakeholder initiatives.
• Contribute analytical insights to data-driven strategy planning, financial and fiscal impact assessments, and implementation milestones.

• Identify, normalize, and analyze large structured and unstructured datasets, including data limitations and quality issues.
• Assess relationships among multiple data sources and organize information for effective analysis.
• Design and implement database models; download, store, and import raw data; and maintain SQL database tables.
• Use business intelligence tools, including Tableau, to build robust visualizations and practical client-facing tools.
• Apply complex extract, transform, and load (ETL) processes and SQL querying to prepare and analyze data.
• Maintain detailed workpapers documenting assumptions, methodologies, and information sources.
• Translate key findings from technical analyses in clear, simple terms for non-technical audiences.
• Conduct industry and technical research; prepare analyses, reports, and presentations.
• Coordinate day-to-day project activities with clients, internal teams, and other engagement professionals.

• 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.
• 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.

• Communicate clearly and regularly with internal and external stakeholders about project status, timelines, and findings.
• Work effectively in a fast-paced, high-pressure environment, manage multiple workstreams independently, ask timely questions, and adapt to evolving priorities and deadlines.
• Deliver accurate, high-quality work under tight deadlines and review others’ work for quality assurance.
• Combine sound analytical judgment with thoughtful visual presentation, including color, spatial relationships, and appropriate data density.
• Collaborate effectively, demonstrate initiative, and use technology to solve complex problems.
• Demonstrate Stout’s values: Positive and Team-Oriented, Accountable, Committed, Relationship-Focused, Super-Responsive, and Great Communicators.
• Deliver Relentless Excellence® through careful documentation, collaboration, and responsive client service.

Why Stout?
At Stout, we offer a comprehensive Total Rewards program with competitive compensation, benefits, and wellness options tailored to support employees at every stage of life.
We foster a culture of inclusion and respect, embracing diverse perspectives and experiences to drive innovation and success. Our leadership is committed to inclusion and belonging across the organization and in the communities we serve.
We invest in professional growth through ongoing training, mentorship, employee resource groups, and clear performance feedback, ensuring our employees are supported in achieving their career goals.
Stout provides flexible work schedules and a discretionary time off policy to promote work-life balance and help employees lead fulfilling lives.
Learn more about our benefits and commitment to your success.

https://www.stout.com/en/careers/benefits

The specific statements shown in each section of this description are not intended to be all-inclusive. They represent typical elements and criteria necessary to successfully perform the job.

Stout is an Equal Employment Opportunity. All qualified applicants will receive consideration for employment on the basis of valid job requirements, qualifications and merit without regard to race, color, religion, sex, national origin, disability, age, protected veteran status or any other characteristic protected by applicable local, state or federal law. 

Stout is required by applicable state and local laws to include a reasonable estimate of the compensation range for this role. The range for this role considers several factors including but not limited to prior work and industry experience, education level, and unique skills. The disclosed range estimate has not been adjusted for any applicable geographic differential associated with the location at which the position may be filled. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.