Jackson Lewis P.C.

Statistician II - Wage and Hour

Pay found in job post

Retrieved from the description.

Base pay range

$92,600.00/yr - $101,500.00/yr

Direct message the job poster from Jackson Lewis P.C.

Focused on labor and employment law since 1958, Jackson Lewis P.C.’s 950+ attorneys located in major cities nationwide consistently identify and respond to new ways workplace law intersects business. We help employers develop proactive strategies, strong policies and business-oriented solutions to cultivate high-functioning workforces that are engaged, stable and diverse, and share our clients' goals to emphasize inclusivity and respect for the contribution of every employee.

The Firm is ranked in the First Tier nationally in the category of Labor and Employment Litigation, as well as in both Employment Law and Labor Law on behalf of Management, in the U.S. News - Best Lawyers® “Best Law Firms”.

Job Summary

The Statistician II 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 3 years of experience directly working with Wage & Hour topics and data (timekeeping and payroll data especially), preferably within a legal or HR context.
  • 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.
  • VBA experience a large plus.
  • Experience in R, SQL, Python, other statistical programs a plus (R preferred).
  • Proficiency in linear and logistic regression modeling for large scale workforces
  • 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

  • Master’s-level (or above) degree in applied statistics, mathematics, econometrics or a similar field or commensurate experience or equivalent level of training.

For Colorado and Washington, the expected salary range for this position is between $92,600 and $101,500. 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 July 31, 2024.

Jackson Lewis understands that embracing our differences makes us a stronger, better firm. We appreciate the importance of having a workforce that reflects the various communities in which we work, and we strive to create an inclusive environment where diverse employees want to work and where they can flourish professionally. In furtherance of our culture, 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.

  • Seniority level

    Mid-Senior level
  • Employment type

    Full-time
  • Job function

    Research, Analyst, and Information Technology
  • Industries

    Law Practice

Referrals increase your chances of interviewing at Jackson Lewis P.C. by 2x

See who you know

Get notified about new Statistician jobs in Denver, CO.

Sign in to create job alert

Similar jobs

People also viewed

Similar Searches

Explore collaborative articles

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Explore More