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.
Impact You’ll Make
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.
What You’ll Do
- 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 assumpti