Jackson Lewis PC Hiring for HR Data Analyst at Denver, CO Full Time

Jackson Lewis is looking for a Data Analyst to join its data-driven workplace analytics practice.

This 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. And it will prepare and submit various compliance reports including EEO-1 and VETS-4212 reports

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.

Duties and Responsibilities

Typical days vary, but regular activities include:

· 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

Skills and Educational Requirements

Requirements

· 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

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. 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.

For Colorado Applicants: The expected starting salary range for this position in Colorado is between $26.00-$42.00 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)

· 401(k) matching

· Dental insurance

· Health insurance

· Paid time off

· Vision insurance

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

Job Type: Full-time

Pay: $20.00 – $35.00 per hour

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Health savings account
• Paid time off
• Referral program
• Vision insurance

Schedule:

Work Location: One location