Senior Associate, Analytics and Data Strategy

Secretariat•Chicago, IL
•$100,000 - $115,000

About The Position

As a member of Secretariat’s expanding disputes practice, the Senior Associate 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 develop tailored solutions for clients facing high-stakes legal and regulatory matters. The position involves obtaining, preparing, and validating data; analyzing historical financial, operational, and transactional information; conducting quality control; communicating findings to project teams; and helping prepare client-ready deliverables. Secretariat describes its culture as collaborative and globally integrated, with an emphasis on professional development, recognition, diversity, and teamwork.

Requirements

  • Bachelor’s degree from an accredited university or college in Data Analytics/Data Science, Computer Science, Management Information Systems, Accounting, Finance, Economics, or a similar field.
  • 2–4 years of prior experience in a like 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 explain 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 needing sponsorship at any time in the future.

Nice To Haves

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

Responsibilities

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