Senior Analyst HR Analytics

Your Work Matters:

The Senior Analyst designs, builds, and delivers HR analytics, reporting, and insights across all HR functions to inform people-related decisions. Works independently to translate HR and business questions into data analyses, dashboards, and recommendations for HR leaders and business stakeholders.

Your Day will Consist of:

• Extract, clean, and validate data from HRIS, ATS, payroll, and other workforce systems.
• Build and maintain dashboards and recurring reports on workforce metrics across all HR sub-functions (e.g., talent acquisition, compensation, benefits, employee relations, learning and development, engagement, HR operations).
• Conduct ad hoc analyses on workforce trends, attrition drivers, and talent programs, and present findings to HR leadership.
• Develop statistical and predictive models to support people-related decision-making across HR sub-functions.
• Define metrics, data standards, and report logic in partnership with HR Business Partners and Centers of Excellence.
• Maintain data integrity and document data sources, definitions, and methodologies.
• Respond to data requests from HR and business leaders and prioritize requests by business impact.
• Support compliance and audit reporting, including required regulatory reports.

You'll be Successful With:

REQUIRED

• Proficiency in Excel (advanced functions, pivot tables) and BI/visualization tools (e.g., Power BI, Tableau).
• Experience working with HRIS data (e.g., Workday, UKG/Kronos, etc.).
• Working knowledge of SQL or equivalent data query language.
• Ability to apply statistical methods (e.g., regression, correlation, significance testing) to workforce data.
• Strong written and verbal communication skills, including presenting data to non-technical audiences.
• Demonstrated ability to manage multiple priorities and work independently.
• Commitment to handling confidential employee data appropriately.

PREFERRED:

• Experience with Python or R for data analysis.
• Experience with predictive modeling or workforce planning.
• Experience in a retail or multi-location workforce environment.
• Familiarity with compensation, talent acquisition, benefits, or engagement data.
• Experience with survey analytics.

EDUCATION:
Minimum Education Required: Bachelor’s degree (preferably in Statistics, Data Science, Business, Economics, Industrial/Organizational Psychology, or a related field)

EXPERIENCE:
Related Work Experience Required: 5+ years in people analytics, data analytics, or a related field

This position description is intended to describe the general nature and level of work being performed by people assigned to this job. It is not intended to be inclusive of all duties and responsibilities and is subject to change at any time.

Benefits & Rewards

Bonus opportunities & career advancement opportunities at every level

Programs that help you reach your financial goals: 401k with company match, Employee Stock Purchase Plan, and Referral Bonus Program

Medical, Dental, Vision, Life, and other Insurance Plans (subject to eligibility criteria)

Work-life balance, including:

• Paid vacation and sick time for eligible associates

• Paid holidays plus a personal holiday

• Paid Volunteer Time Off that starts on Day 1

Equal Employment Opportunity

Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law.

This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment.  This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.