Partner with key talent stakeholders to intake, catalog, prioritize and execute requests and enhancements to new and existing metrics, reports, discovery boards, dashboards and other tools/resources.
Develop a deep understanding of the Talent and Culture initiatives and priorities to connect the dots across deliverables and provide deep analytics and insights.
Proactively manage and deliver projects against key deliverables with a strong rhythm of communication and updates to stakeholders.
Dive deep into complex enterprise-wide business problems and provide insights into the employee experience.
Collaborate with team members and business partners to deliver high quality solutions and recommendations to a variety of problems across the employee experience domain.
Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and strong ability to merge context and data for effective messaging and relevance of products.
Reconcile divergent demands from multiple stakeholders in a fast-paced work environment while prioritizing the support of our Talent function.
Provide definition, KPI, analysis and interpretation support to HR Leadership for Executive presentations and strategic initiatives.
Use complex datasets to create and implement new data definitions, KPIs and Metrics in the interest of identifying metrics that matter to the employee's journey.
Proactively assess the effectiveness of existing tool stack, monitor data accuracy, and consult partners to drive adoption.
Provide expertise in Workday Reporting & Prism, Looker, and the Google Cloud Platform to ensure People Analytics datasets are accurate, efficient, and meaningful.

Requirements

3+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
3+ years of experience in extracting and manipulating large data sets from various relational databases using SQL.
Workday report writing, Workday Prism data pipelines and discovery boards, Looker, and people analytics data experience and analysis required.
Proficient coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data independently.
Clear and effective written and verbal communication and strong interpersonal skills.
Knowledge and understanding of talent acquisition, talent management and learning, and culture space.
Bachelor’s degree in data analytics or related field preferred.

Benefits

Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisSQLdata manipulationreport writingdata pipelinesstatistical programmingdata definitionsKPI developmentdata accuracy monitoringdata storytelling

Soft Skills

communicationinterpersonal skillsproject managementcollaborationproblem-solvingprioritizationstakeholder managementanalytical thinkingadaptabilitypresentation skills