About The Position

As a member of Secretariat’s expanding disputes practice, the Senior Associate, Analytics and Data Strategy applies analytical and quantitative skills to complex damages, accounting, economics, and technology matters involving large, disparate datasets. The role collaborates with Secretariat experts and other accounting, valuation, economics, and technical professionals to deliver bespoke solutions for clients handling high-stakes legal and regulatory matters. The position also involves communicating analytical findings to project teams and helping prepare client-ready deliverables.

Requirements

  • Bachelor’s degree in Data Analytics/Data Science, Computer Science, Management Information Systems, Accounting, Finance, Economics, or a similar field from an accredited university or college.
  • 2–4 years of prior experience in a similar role.
  • Demonstrated leadership and initiative in an academic, professional, or extracurricular setting.
  • Analytics and problem-solving skills.
  • Attention to detail, critical thinking skills, and commitment to quality.
  • Strong written and verbal communication skills and interpersonal awareness.
  • Ability to distill and communicate complex analytical methods and results, in writing or verbally, as facts and insights for clients, counsel, and experts.
  • Ability to quickly assimilate relevant information in unfamiliar situations and develop creative approaches and solutions to complex problems.
  • Ability to manage and prioritize personal and team time, potentially amid competing deadlines.
  • Must be eligible to work in the United States without requiring sponsorship at any time in the future.

Nice To Haves

  • Experience with SQL, Python, R, and/or other programming languages for manipulating data stored in relational databases.

Responsibilities

  • Assist with obtaining relevant data, loading it into an analytics platform, and checking its veracity.
  • Assist with quantifying damages and exposure amounts, tracing funds across accounts, and conducting analyses involving historical financial, operational, and transactional data.
  • Perform thorough quality control to ensure accuracy.
  • Report findings to project team members.
  • Assist in preparing client-ready deliverables.
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