Our client is hiring a manager who is familiar with economics, consulting, statistics, financial analysis, and litigation.
This role is 5 days a week onsite in Charlotte, NC.
Must have SAS enterprise. And have consulting experience in a fast-paced environment.
Responsibilities:
- Determining (through a review of legal documents and discussion with co-workers and counsel) the types of data required to address the claims at issue in a case
- Formulating quantitative approaches to address the claims at issue in a case
- Programming competently in SAS, including the use of advanced functionality (e.g., loops, arrays, macros, PROC SQL)
- Understanding common data structures and formats
- Evaluating the completeness and quality of data and devising approaches for dealing with data insufficiencies
- Using EXCEL in a formula-driven way for computational and graphical purposes
- Creating fully linked, self-updating Excel models that incorporate user-selected parameters
- Organizing data from multiple sources and proactively anticipating updates
- Ensuring 100% accuracy of programs and output
- Preparing write-ups, presentations, and exhibits to display or accompany quantitative findings
- Communicating complex issues to a non-technical audience, including clients
- Managing and mentoring junior staff
Job Qualifications:
- Bachelor's degree in economics, Statistics, Mathematics, or other quantitative fields; master's degree a plus
- 5-8 years of experience working in a high-demand consulting environment
- 5-8 years of SAS programming experience
- Minimum 5 years of experience in validating, processing, and analyzing data (prior litigation consulting experience very strongly preferred)
- Demonstrated ability to write code in SAS and to conduct complex data analysis (additional programming languages a plus)
- High proficiency in Excel, experience building dynamic exposure models a plus
- Strong written, verbal, and interpersonal communication skills
- Ability to respond to unexpected client requests and to handle quickly changing priorities
- Understanding of economic damages and statistical concepts
- General knowledge of labor and employment law and the legal framework is preferred