People Analytics Senior Analyst

2 days ago

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DICK'S Sporting Goods

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Retail • Merchandising • Technology • Product Development • Athletics

10,000+ employees

Founded 1948

🛒 Retail

⚽ Sports

🛍️ eCommerce

Description

• Responsible for transforming diverse people data sources to extract meaningful insights • Design, build, and maintain key analyses on the entire employee life-cycle • Conduct detailed analysis of workforce data and key HR metrics • Develop and maintain dashboards and reports that provide insights into key HR metrics and trends using BI tools • Develop predictive models and analytics to forecast workforce trends and outcomes • Interpret and present complex data analyses to HR, senior leaders, and other stakeholders • Lead complex people analytics projects from hypothesis development through insight delivery • Partner with HR and business leaders to understand their needs • Establish and maintain robust data governance practices • Lead and participate in People Analytics projects

Requirements

• Bachelor's Degree required • 5-7 years of experience in Data analysis and visualization, Consulting and storytelling • Master’s degree strongly preferred in I-O psychology, data science, statistics, business analytics, HR management, or related quantitative field (with 3-5 years of experience) • Microsoft Excel (with VBA as a plus) • Data analysis tools (i.e. R, Python, etc.) • Data visualization tools (i.e. Visier, Qlik, MS Power BI) • Microsoft PowerPoint • Data Preparation Tools (i.e. Alteryx, MS Access, SQL Databases) • Strong understanding of HR data and HR employee lifecycle processes (talent acquisition, talent development, workforce planning, DE&I, employee listening, etc.) • Ability to maintain complete confidentiality and discretion • Familiarity with inferential statistics techniques (e.g., correlation, regression) and how they apply in context • Detail orientation • Strong data analytics skills with the ability to leverage multiple data sources to enable data-driven insights and inform strategic talent decisions • Desire to learn new skills/technologies

Benefits

• Competitive total rewards package • Incentive, equity and benefits