Summer Internship – Data Analytics

Forensic Risk Alliance Washington

As FRA’s Washington, D.C. office grows, we are seeking a qualified intern with business, analytics, or computer science background to assist in our forensic data analytics team.

The intern will assist team members to perform the following duties:

  • Assist with ETL procedures;
  • Review and manage structured and unstructured data
  • Inventory data received and record metadata
  • Transform data using scripting languages such as SQL, PowerShell, C#, or Python
  • Perform basic data imports into Microsoft SQL Server
  • Validate imported data and perform preliminary data manipulation and analysis
  • Interpret data from clients’ accounting systems;
  • Create analytics and reports of results by working closely with the forensic accounting team;
  • Design and build visualizations of analysis and observations to communicate findings;
  • Contribute to research on trending topics, such as:
    • Visualization improvements
    • Machine learning
    • Data science
    • International compliance standards
    • Data privacy laws
  • Perform additional duties and special projects as assigned: we have a strong “family business” spirit and are looking for people that are willing to take initiative, be creative and be committed to any type of task.


  • Pursing a bachelor’s or master’s degree in Management Information Systems, Computer Science or similar majors. Qualified candidates with other backgrounds will be considered.
  • Basic familiarity with T-SQL and programming is strongly considered.
  • Mandatory fluency in spoken and written English. Additional language skills (e.g., French, Portuguese, Spanish, German, Chinese, Russian, Arabic, etc.) are favorable.
  • Strong logic and problem solving capabilities.
  • Methodical, detail-oriented, innovative, and highly analytical.
  • Excellent interpersonal and organizational skills.
  • Able to adapt quickly to new situations, prioritize workload, work independently or as part of a team, and travel when necessary.
  • Complete proficiency in Excel and Word is mandatory.
  • Preferred qualifications include:
  • Ability to program in Python, C#, or other programming language skills
  • Experience with SSIS, PowerShell, and/or VBA
  • Experience working with business intelligence tools
  • Knowledge of financial analysis techniques and methodologies

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