Workforce Analytics

Must have skills: Experience in Power BI and Alteryx – (Must have) Experience in basic SQL (Must have) Experience with R, Phyton and other statistical tools (Any tool, must have) Bachelor’s degree in business, Data Science, Analytics or related discipline (Must Have) Hands-on experience in leading talent analytics efforts for a large enterprise (Large data sets, except Excel) Proven ability to consulting and “telling the story” And robust analytical skills coupled with strategic planning abilities (Must Have) Experience in HR, Workforce or Talent Analytics (Nice to have) Qualifications/ What you bring (Must Haves) – Highlight Top 3-5 skills Advanced with Power BI, Tableau and Alteryx Experience with R, Phyton and other statistical tools Experience in HR, Workforce or Talent Analytics Bachelor’s degree in business, Data Science, Analytics or related discipline Hands-on experience in leading talent analytics efforts for a large enterprise Proven ability to work with highly confidential data with a high-level of professionalism Strong skills in data gathering, cleansing, and quality assurance to ensure reliable and actionable insights Proven ability to consulting and “telling the story” and robust analytical skills coupled with strategic planning abilities Working knowledge of different data infrastructure, analytical and data visualization tools (Tableau and Power BI) Experience working with quantitative and qualitative data Strong understanding of research, data, metrics and statistical techniques Expertise in turning analytical results into compelling stories which influence business direction Experience in developing HR metrics and building dashboards and, empowering users with self-service visualization Prior active role in validating data quality Ability to communicate quantitative analysis in a clear, precise and actionable manner. Prior experience in presenting to senior and executive leadership teams Superior project management skills Naturally inquisitive and driven to pursue answers and insights through data and analyses Work Location: In person