Job Summary The Statistician I role in the Wage & Hour Data Analytics group provides support on various projects, including but not limited to single plaintiff, class action, collective action, and DOL audit client exposure analyses, largely based on client timekeeping and payroll data. Experience with Wage & Hour data and a current knowledge of Wage & Hour laws at the state and/or federal level is required. Once integrated into the group, you will work with a high degree of latitude with minimal supervision, handle complex attorney/client issues, oversee the work of analysts and more junior statisticians, and be expected to effectively communicate with both attorneys and high-level client contacts. In short time, you will possess expert knowledge of subject matter and Firm analytic protocols and procedures. Regularly works with attorneys and team manager to determine strategies for projects. Provide support on Practice Group initiatives, marketing efforts and in pitches.
Essential Functions- Identify data issues, perform basic analysis, and develop solutions.
- Participate in creation of macros and coding for necessary analyses.
- Provide input on timely, effective solutions to solve client issues; identify and suggest new approaches to technical issues.
- Assess client exposure under various litigation scenarios - class action, collective action, etc.
- Oversee and review work of analysts and junior statisticians, including workload management and project delegation.
- Provide clear, concise communications - both written and oral - to attorneys and client contacts, with the ability to explain complex topics in an easy-to-understand manner.
- Develop methods and strategies to reach the end goal of a project based on various types/formats of raw client data.
- Work with attorneys and analysts for analysis revisions, often on-the-fly during mediation proceedings.
- Determine client and project needs and independently design and prepare data and analyses
Qualifications/Skills Required- Minimum two years of experience directly working with data and performing data analyses professionally and/or academically, preferably within a Wage & Hour, legal, or HR context (timekeeping and payroll data especially).
- Direct experience with California Wage & Hour laws a large plus.
- Expert working knowledge with Excel, especially with basic and intermediate Excel formulas (vlookups, sumifs, etc.); Ability to use Excel formulas and mathematics to manipulate raw data into dollar-figure exposure estimates.
- Experience in R, SQL, Python, other statistical programs a plus (R preferred) required.
- Ability to communicate well, both in writing and verbally, with client HR and legal professionals at Fortune 500 companies.
- Ability to write programs/macros to automate repetitive statistical and data tasks.
- Critical thinking and problem-solving skills required.
- Strong organizational and communication skills.
- Ability to multi-task and manage multiple projects, from start to finish, with shifting priority levels.
- Working knowledge of R, data wrangling methodologies and coding standards around dplyr, tidyverse, lubridate.
- Critical thinking skills with attention to every detail.
- Willingness to conform to standardized group practices.
Educational Requirements- Undergraduate degree in applied statistics, mathematics, econometrics or a similar field or commensurate experience or equivalent level of training required. Master's degree or equivalent work experience preferred.
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For Colorado, Chicago and Washington, the expected salary range for this position is between $80,000 and $91,500. This position is also eligible for annual bonuses. The actual compensation will be determined based on experience and other factors permitted by law.
Jackson Lewis offers a competitive benefits package that includes:
- Medical, dental, vision, life and disability insurance
- 401(k) Retirement Plan
- Flexible Spending and Health Savings Account
- Firm-paid holidays, vacation and sick time
- Employee assistance program and other firm benefits
The application deadline for this position is September 1, 2026.
