Statistician II - Wage and Hour

Statistician II – Wage & Hour Data Analytics Group Provide analytical support for a variety of projects, including single plaintiff, class action, collective action, and Department of Labor audit client exposure analyses, using time‑keeping and payroll data. Responsibilities Identify data issues, perform basic analysis, and develop solutions. Participate in the creation of macros and coding for necessary analyses. Provide input to develop timely, effective solutions to client issues and suggest new technical approaches. Assess client exposure under various litigation scenarios, such as class action and collective action. Oversee and review the work of analysts and junior statisticians, including workload management and project delegation. Communicate clearly and concisely, both written and oral, to attorneys and client contacts, explaining complex topics in an accessible manner. Develop methods and strategies to achieve project goals based on various types/formats of raw client data. Collaborate with attorneys and analysts on analysis revisions, often on‑the‑fly during mediation proceedings. Determine client and project needs and independently design and prepare data and analyses. Qualifications Minimum two years of experience directly working with Wage & Hour topics and data (timekeeping and payroll data), preferably within a legal or HR context. Direct experience with California Wage & Hour laws is a large plus. Expert working knowledge of Excel, including basic and intermediate formulas (e.g., VLOOKUP, SUMIFS). Ability to manipulate raw data into dollar‑figure exposure estimates using Excel formulas and mathematics. 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 skills 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 skills and ability to manage multiple projects with shifting priorities. Working knowledge of R, data‑wrangling methodologies, and coding standards around dplyr, tidyverse, and lubridate. Attention to detail and willingness to conform to standardized group practices. Educational Requirements Master’s‑level (or above) degree in applied statistics, mathematics, econometrics, or a similar field, or commensurate experience or equivalent training. Compensation & Benefits The expected salary range for Colorado, NewYork, and Washington is $92,600 to $105,000 ; the position is also eligible for annual bonuses. Benefits include medical, dental, vision, life and disability insurance, a 401(k) retirement plan, flexible spending and health savings account, firm‑paid holidays, vacation and sick time, an employee assistance program, and other firm benefits. EEO Statement 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 characteristics protected by law. #J-18808-Ljbffr Jackson Lewis P.C.