Jackson Lewis P.C.
Statistician I – Wage & Hour Data Analytics
Apply for the
Statistician I
role at
Jackson Lewis P.C.
Jackson Lewis P.C. has been focused on employment and labor law since 1958, with over 1,000 attorneys nationwide who deliver proactive legal strategy and policy solutions to support diverse and stable workforces. We are ranked in the First Tier nationally in Labor and Employment Litigation and are recognized by U.S. News – Best Lawyers® “Best Law Firms.”
Job Summary The Statistician I will support the Wage & Hour Data Analytics group on a variety of projects including plaintiff, class action, collective action and Department of Labor audit client exposure analyses. The role requires strong knowledge of Wage & Hour laws and client timekeeping and payroll data. The analyst will work with high latitude and minimal supervision, managing complex attorney/client issues, overseeing junior statisticians, and providing clear communication to attorneys and high‑level client contacts.
Essential Functions
Identify data issues, perform basic analysis, and develop solutions.
Create macros and coding for necessary analyses.
Provide timely solutions to client issues and suggest new technical approaches.
Assess client exposure under litigation scenarios (class action, collective action, etc.).
Oversee and review work of analysts and junior statisticians, including workload management and project delegation.
Communicate effectively, both written and oral, with attorneys and client contacts, explaining complex topics in an understandable manner.
Develop methods and strategies to achieve project goals based on various types and formats of raw client data.
Work with attorneys and analysts for analysis revisions, often on the fly during mediation proceedings.
Independently design and prepare data and analyses based on client and project needs.
Qualifications / Skills Required
Minimum two years of direct experience with Wage & Hour topics and data (timekeeping and payroll data), preferably in a legal or HR context.
Direct experience with California Wage & Hour laws is a large plus.
Expert knowledge of Excel, including intermediate formulas (VLOOKUP, SUMIFS, etc.) and ability to manipulate raw data into dollar‑figure exposure estimates.
VBA experience is a large plus.
Experience with R, SQL, Python, or other statistical programs (R preferred).
Proficiency in linear and logistic regression modeling for large scale workforces.
Strong written and verbal communication 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.
Strong organizational and communication skills.
Ability to multi‑task and manage multiple projects from start to finish with shifting priorities.
Working knowledge of R, dplyr, tidyverse, lubridate, and coding standards.
Attention to detail and 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 training.
Compensation & Benefits For Colorado, Chicago and Washington, the expected salary range for this position is $80,000–$91,500 and the role is eligible for annual bonuses. Compensation will be 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
Application Deadline The application deadline for this position is February 25, 2026.
Equal Employment Opportunity We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristic protected by law.
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Statistician I
role at
Jackson Lewis P.C.
Jackson Lewis P.C. has been focused on employment and labor law since 1958, with over 1,000 attorneys nationwide who deliver proactive legal strategy and policy solutions to support diverse and stable workforces. We are ranked in the First Tier nationally in Labor and Employment Litigation and are recognized by U.S. News – Best Lawyers® “Best Law Firms.”
Job Summary The Statistician I will support the Wage & Hour Data Analytics group on a variety of projects including plaintiff, class action, collective action and Department of Labor audit client exposure analyses. The role requires strong knowledge of Wage & Hour laws and client timekeeping and payroll data. The analyst will work with high latitude and minimal supervision, managing complex attorney/client issues, overseeing junior statisticians, and providing clear communication to attorneys and high‑level client contacts.
Essential Functions
Identify data issues, perform basic analysis, and develop solutions.
Create macros and coding for necessary analyses.
Provide timely solutions to client issues and suggest new technical approaches.
Assess client exposure under litigation scenarios (class action, collective action, etc.).
Oversee and review work of analysts and junior statisticians, including workload management and project delegation.
Communicate effectively, both written and oral, with attorneys and client contacts, explaining complex topics in an understandable manner.
Develop methods and strategies to achieve project goals based on various types and formats of raw client data.
Work with attorneys and analysts for analysis revisions, often on the fly during mediation proceedings.
Independently design and prepare data and analyses based on client and project needs.
Qualifications / Skills Required
Minimum two years of direct experience with Wage & Hour topics and data (timekeeping and payroll data), preferably in a legal or HR context.
Direct experience with California Wage & Hour laws is a large plus.
Expert knowledge of Excel, including intermediate formulas (VLOOKUP, SUMIFS, etc.) and ability to manipulate raw data into dollar‑figure exposure estimates.
VBA experience is a large plus.
Experience with R, SQL, Python, or other statistical programs (R preferred).
Proficiency in linear and logistic regression modeling for large scale workforces.
Strong written and verbal communication 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.
Strong organizational and communication skills.
Ability to multi‑task and manage multiple projects from start to finish with shifting priorities.
Working knowledge of R, dplyr, tidyverse, lubridate, and coding standards.
Attention to detail and 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 training.
Compensation & Benefits For Colorado, Chicago and Washington, the expected salary range for this position is $80,000–$91,500 and the role is eligible for annual bonuses. Compensation will be 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
Application Deadline The application deadline for this position is February 25, 2026.
Equal Employment Opportunity We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, sexual orientation, veteran status, marital status or any other characteristic protected by law.
#J-18808-Ljbffr