Job description
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”.
The HR Data Analyst will partner with attorneys to design, create, and analyze employer workforce diversity, hiring, compensation and other trends in client Human Resources data. They will work closely with attorneys to prepare and defend affirmative action plans and prepare employment diversity compliance reports including EEO-1 and VETS-4212.
Our team includes a creative group of attorneys and staff, including data analysts and statisticians, who work together to leverage client-specific data to assist in advice and counseling on diversity and equity issues in the workplace, as well as the defense of discrimination claims.
This position is in Denver, CO and reports to the Office Administrator.
In this role, data analysts collaborate with other data analysts, as well as attorneys and clients on various group projects. Additionally, data analysts independently utilize their analytical and project management skills with individual projects. This is a great opportunity to work in a fun, energetic and challenging team
atmosphere.
For this specific hire, we are looking for candidates with extensive VBA experience who are comfortable modifying existing macros and developing new macros to standardize many of our common analyses. In your resume and/or cover letter, please speak specifically to your experience here. This remains true for this specific hire.
Essential Functions
- Design, create, and analyze reports, primarily in Excel, regarding Wage & Hour data analytics.
- Review and analyze large data sets for completeness and accuracy.
- Collaborate with other team members and attorneys.
- Organize and maintain electronic and hard copy data files.
Qualifications/Skills Required
1-3 years of experience in data analytics work.- Proficiency with MS Office, particularly Excel and VBA.
- Ability to apply basic mathematical concepts to Excel formulas.
- Excellent attention to detail, organizational and communications skills.
- Critical thinking and problem-solving skills.
- Wage & Hour and/or HR experience preferred, but not required.
- Experience in other statistical programs (e.g., SQL, R, Python, etc.) preferred, but not required.
- Ability to multi-task and manage multiple projects from start to finish, with shifting priority levels.
- Ability to work in a highly collaborative and fast-paced environment.
Educational Requirements
Bachelor’s Degree required.
#LI-LM1
For Colorado Applicants: The expected starting salary range for this position in Colorado is between $24.92-$30.97 per hour. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. The position is also eligible for an annual productivity bonus.
Benefits:
- 401(k)
- Health insurance
- Dental insurance
- Vision insurance
- Paid time off
Upon hire, the internal title for this position will be Wage & Hour Data Analyst.
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.
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