Job Openings HR Analytics and Modeling Associate Manager

About the job HR Analytics and Modeling Associate Manager

JOB DESCRIPTION:


The HR Analytics and Modeling Associate Manager will gather, analyze and model client data (customers, financials, operational, organizational, access channel), key performance indicators, and/or market data (competitors, products, suppliers), using a broad set of analytical tools and techniques to develop quantitative and qualitative business insights and improve decision-making

 

Responsibilities:

  • Execute analytics efforts in areas specific to the business function and industry of focus, for example:
    • Design of distribution network
    • Forecasting
    • Aggregate planning
    • Supply/capacity management
    • Inventory management
  • Identify and recommend process improvements based on results of analytics work


Data Analytics and Information Technology

  • Utilize tools (e.g., cross tabulation, conjoint analysis, cluster analysis, multi-dimensional scaling, factor analysis, multiple discriminant analysis, regression and correlation) and algorithms for data mining (e.g., association rules, artificial neural network, decision tress, time series) to develop business data insights
  • Design quantitative and qualitative research approaches/programs and design surveys (sampling, questionnaire preparation, scales, reliability and validity of questionnaire)
  • Conduct study of central tendency, dispersion, skewness and kurtosis of nominal & ordinal (non-metric), interval & ratio (metric) data
  • Responsible for statistical inference of data through estimation techniques and hypothesis testing
  • Gather business intelligence for decision making


TO QUALIFY:

  • Graduate of Bachelor’s Degree course
  • Must have at least 6-7 years relevant work experience
  • Must have at least 2 years experience in Data Visualization (High Proficiency)
  • Strong storytelling experience
  • Strong stakeholder management
  • Preferred: 
    • Advanced Excel (Macro)
    • SPSS, R, Tableau, Statistical Tools
  • Good to have:
    • Quantitative & Qualitative Research and Insight Generation
    • Competitive Intelligence
    • Digital Analytics