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Data Analyst, Transformative Change Disputes, Claims & Investigations

Stout

NEW YORK, NYJobSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
No compensation found
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Stout’s Transformative Change practice uses data analysis, research, strategy, and operational experience to help clients pursue sustainable change. The Data Analyst turns structured and unstructured information into accurate analyses and accessible visualizations, supporting client understanding and decision-making. The role works on initiatives involving government entities, nonprofit organizations, and civil rights and system reform issues.

Skills & qualifications

RequiredNice to have

Skills

TableauSQLDatabase ManagementETLTeamworkAttention to DetailTroubleshooting Data QualityData ReconciliationQuantitative ResearchQualitative ResearchData AnalysisPython

Qualifications

Bachelor's in Related Field1+ Years Related ExperienceTableau Desktop Specialist or Tableau Certified Data Analyst

Full job description

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 MakeAs 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 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. What You'll Bring * 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. How You'll Thrive * Communicate clearly and regularly with int

How this job compares

Set against the 5,303 open Data Analyst jobs on Olive Jobs, counted November 6, 2026.

Pay
  • This postingNot listed
  • New York median$90–126K/yr339 salary ranges
  • New York median$25–30/hr42 hourly ranges
Openings
Olive Jobs lists 495 open Data Analyst jobs in New York and 5,303 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
This posting asks for at least 1 year of experience — less than three in four Data Analyst postings that state a minimum ask for (median 4 years, across 3,974 postings).
Education
This posting asks for a bachelor's degree; 2,267 of the 5,303 open Data Analyst jobs (43%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 6, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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