Sr. Analyst - Workforce Analytics

SuperbTechPlano, TX
Hybrid

About The Position

This role involves conducting simple to complex trending, statistical, and predictive analysis to support HR department and business workforce objectives and inform talent decisions. The analyst will provide advanced analytical support and expertise to various HR and business initiatives related to the talent lifecycle, tailoring data mining and analyses for actionable and measurable results. The position requires mixing quantitative and qualitative methods to spearhead large-scale analyses, identify root causes and key drivers of talent trends, analyze HR data, develop workforce KPIs, and create dashboards to advise on workforce impacts. The role also involves adding context to internal talent trends with external metrics and environmental shifts, extracting data to develop value-add dashboards, collaborating on data source integration, and recommending data quality standards and governance. The analyst will establish collaborative relationships, interpret data effectively, and partner with Talent Analytics Sr Analysts, Data Science, and Data Architect Consultants to determine project roadmaps.

Requirements

  • 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

Responsibilities

  • Conduct simple to complex trending, statistical and predictive analysis to help drive HR department & business workforce objectives and inform talent decisions
  • Participate in and bring advanced analytical support & expertise to various HR and business initiatives related to the talent lifecycle
  • Tailor data mining and analyses so results will be actionable and measurable
  • Mixing quantitative and qualitative methods, spearhead large scale analyses to identify the root cause and key drivers of talent trends
  • Analyze HR data, develop workforce KPI's and create dashboards to advise of impacts to the workforce
  • Add context to internal talent trends with external metrics, environmental shifts in work-related mindset and practices to draw implications and propose strategic plans
  • Extract data to develop and own value-add dashboards that synthesize trends and track progress toward closing gaps against goals
  • Collaborate in identifying most impactful data sources to prioritize integration efforts
  • Bring creative problem solving to bridge knowledge gaps, including data extrapolation or new data capture efforts
  • Recommend standards and governance in place to prioritize data quality
  • Establish collaborative and consultative relationships and demonstrate keen skills in interpreting data effectively
  • Partner closely with Talent Analytics Sr Analysts, Data Science and Data Architect Consultants to determine project roadmap for each priority
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