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HR Data Analyst – Jackson Lewis P C

  • Legal
  • Fulltime
  • 1 year ago

Job Information

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    Salary Dollar less-than-30000 /
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    No. of Openings 1 opening
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    Job Experience : 0-2 years

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”.

Jackson Lewis is looking for a Data Analyst to join its data-driven workplace analytics practice. The Data Analyst will partner with attorneys to design, create, and analyze employer workforce diversity, hiring, compensation and other trends in client Human Resources data. It 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 Melville, NY and reports to the Office Administrator.

Duties and Responsibilities
• Analyze employment-related data sets using Microsoft Excel, including formulas and pivot tables
• Compile and validate employment-related data from various sources, workbooks, and spreadsheets
• Assist attorneys in the development of affirmative action plans, defending U.S. Department of Labor compliance audits, and analysis of diversity metrics and other Human Resources trends
• Support attorneys in the preparation and defense of affirmative action plans subject to government audit
• Review, organize and validate client data to prepare and file annual government required diversity compliance reports, including EEO-1, VETS-4212, and California pay data reports.
• Research data sources as applicable to project needs (e.g., U.S. Census Bureau, Bureau of Labor Statistics)
• Prepare ad hoc reports, graphics, and presentations to address client needs
• Communicate daily with clients and attorneys
Skill and Educational Requirements

Required
• BS/BA or equivalent
• Strong organization, problem-solving, critical thinking, analytical, and communication skills
• Strong interpersonal skills, team player, and project manager
• Strong attention to detail
• Ability to interpret and report on client data
• Client service orientation
• Willingness to work a flexible schedule, including overtime as necessary

Preferred
• Intermediate to advanced Microsoft Excel proficiency
• Background in Human Resources, Economics, Statistics, Mathematics, or another quantitative field
• Knowledge of EEO/affirmative action compliance-related laws and regulations
• Experience in analyzing and reconciling large data sets
• Experience with diversity and inclusion related analytics

Upon hire, the internal title for this position will be AAP 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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