Summer Internship – Data Analytics

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.

Qualifications

• 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