Data Analyst: Transformative Change for Disputes

Stout Risius Ross, LLC; New York (NY); On-site; USD 60,000 - 130,000; Full time

Job summary

Stout is seeking a data analytics professional to identify, normalize, and analyze large datasets, build robust Tableau visualizations, and support client-facing tools. The role involves ETL work, SQL querying, and collaboration across teams in a fast-paced environment.

The ideal candidate has a Bachelor's degree and 1–3 years of experience in data analytics, with strong attention to data quality and research skills. A competitive compensation package and benefits are offered.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data analytics

Problem-solving

Coding

Education

Bachelor's degree in data science, computer science, information technology, mathematics, accounting, economics, finance, or related field

Tools

Tableau

SQL

Python

ETL

Job description

Stout is seeking a data analytics professional to identify, normalize, and analyze large datasets, build robust Tableau visualizations, and support client-facing tools. The role involves ETL work, SQL querying, and collaboration across teams in a fast-paced environment.

The ideal candidate has a Bachelor's degree and 1–3 years of experience in data analytics, with strong attention to data quality and research skills. A competitive compensation package and benefits are offered.