Senior Analyst, HR Analytics

Job Description: Senior Analyst, HR Analytics Department: Corporate Human Resources Location: Tampa, FL Reports to: Director – HR Data & Analytics Excellence Job Summary L'Oréal USA is seeking a Senior HR Data Analyst to serve as a hands‑on analytics practitioner responsible for transforming complex workforce data into scalable and reproducible analytical solutions that drive decision‑making across the HR organization. In this role, you will translate business needs into actionable insights through analytical and statistical approaches, and compelling dashboards to execute the full analytical lifecycle, from data extraction, preparation, and modeling through visualization, storytelling, and stakeholder delivery. HR Analytics is at the heart of transforming HR into a strategic business driver, directly contributing to the growth, agility, and success of our organization. Key Responsibilities Stakeholder Partnership & Solution Development: Translate stakeholder requirements into robust technical solutions, formalize functional requirements and deliver analytics products that meet evolving organizational needs, collaborate with HR Excellence team to ensure analytics outputs leverage high‑quality, well‑governed data, implement scalable analytical solutions that unlock actionable people insights ensuring reproducibility, maintainability, and long‑term organizational value, execute analytics projects and workstreams—maintaining documentation and deliverables in a structured, traceable manner to ensure analytical quality, translate complex analytical findings into clear, actionable insights for non‑technical stakeholders. Data Preparation, Analysis, & Modeling: Extract, clean, and wrangle disparate datasets using SQL and Python/R, ensuring data quality, consistency, and reproducibility for downstream analytics, conduct exploratory data analysis (EDA) through scripted workflows to systematically identify trends, patterns, and anomalies within workforce data, apply descriptive, inferential, exploratory, predictive, and causal statistical techniques through reusable, well‑documented code to answer critical HR questions and forecast future workforce trends, partner across HR Data & Analytics team to develop, validate, and test predictive models leveraging scripted pipelines that are scalable and maintainable, manage analytical code using version control best practices, ensuring traceability, peer review readiness, and long‑term reproducibility of analytical work. Data Visualization & Business Intelligence: Design, develop, and deploy compelling dashboards (PowerBI) with visualizations that provide clear & actionable insights into workforce dynamics at scale, build and maintain automated, reusable reporting and self‑service analytics tools that reduce manual effort, enable stakeholder exploration, and scale efficiently across the HR organization, address ad‑hoc data needs by programmatically extracting and preparing data from the HR data platform or HRIS system, ensuring outputs are reproducible and well‑documented, support ongoing reporting needs by preparing HR data for stakeholder consumption using scripted data preparation processes—ensuring all outputs are accurate, timely, and compliant with data governance standards. Enablement & Adoption: Drive adoption of Power BI dashboards and self‑service reporting tools by providing up‑skilling, user guidance, and documentation that empowers stakeholders to independently explore and act on workforce data, develop and maintain clear, well‑structured documentation for analytical solutions—ensuring transparency, ease of adoption, and long‑term sustainability of analytics assets across the team, measure and communicate the impact and adoption of HR analytics tools, dashboards, and predictive models—using data to tell the story of analytics value, support HR team as a data analytics subject‑matter expert and contribute to analytics projects. Qualifications Bachelor’s degree in Data Analytics, Statistics, Mathematics, Computer Science, Engineering, Industrial/Organizational Psychology, or related field. Progressive experience in data analysis, data science, or business intelligence roles. Proven experience delivering complex, end‑to‑end analytics projects—from data preparation through modeling, visualization, and stakeholder communication. Technical Skills Power BI—Advanced proficiency in data visualization tools, specifically Power BI; must be able to independently design, develop, and deploy reports and dashboards (required). SQL—Must be able to write and run complex queries for data extraction, and analysis (required). Python—Proficient programming experience with data profiling, scripted data transformation, data analysis, and statistical modeling (required). GIT—Proficiency in version control workflows—ability to navigate repositories, review pull requests, and manage analytical code and script repositories to ensure traceability and reproducibility. Knowledge, Abilities, & Competencies Strong analytical and problem‑solving capabilities with ability to translate business requirements into scalable analytical solutions. Knowledge of and experience with statistical, predictive, and machine‑learning analytics techniques (regression, clustering, forecasting, etc.). Ability to design and maintain automated reporting workflows that scale efficiently across the organization. Knowledge of foundational data warehousing concepts and platforms (SQL Server, Snowflake, GCP). Experience with HR systems & data preferred (SuccessFactors, Workday). Excellent communication and data storytelling skills—able to translate complex analytical findings into clear, compelling narratives for diverse audiences. Strong collaboration abilities with demonstrated success in cross‑functional partnerships. Commitment to documentation, data accuracy, and analytical rigor—ensuring all work is transparent, auditable, and maintainable. Curiosity and continuous learning mindset with enthusiasm for exploring data, adopting new tools, and pushing the boundaries of what analytics can deliver for the business. Benefits Competitive Benefit Package (Medical, Dental, Vision, 401(k), Pension Plan) Hybrid Work Policy (3 Days in Office, 2 Days Work from Home) Flexible Time Off (Paid Company Holidays, Paid Vacation, Vacation Buy Program, Volunteer Time, Summer Fridays & More) Access to Company Perks (VIP Access to L’Oréal’s Internal Shop for Discounted Products, Monthly Mobile Allowance) Learning & Development Opportunities (Unlimited Access to E‑learnings, Lunch & Learn Sessions, Mentorship Programs, & More) Employee Resource Groups (Think Tanks and Innovation Squads) Access to Mental Health & Wellness Programs We Encourage You to Apply Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with the qualifications listed, we encourage you to apply anyway! Equal Opportunity Employer We are an Equal Opportunity Employer and take pride in a diverse environment. We do not discriminate in recruitment, hiring, training, promotion, or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation. Contact: View email address on click.appcast.io. Our Safe Together Plan: Your safety is our highest priority. We will proceed with caution and adhere to enhanced protection standards to ensure our sites are safe for all employees. We must all operate with the shared responsibility for each other’s health & safety in mind. #J-18808-Ljbffr L'Oréal