Dot Foods, Inc.

  • HR Data Engineer

    Job Locations US-MO-Chesterfield | US-IL-Mt. Sterling
    Job ID
    2019-7582
    Category (Portal Searching)
    Human Resources
  • Overview

    Location: Mt. Sterling, IL or Chesterfield, MO

    Department: Human Resources
    Reports To: Vice President – Human Resources
    Your Role: Research and analyze internal and external environmental data and provide recommendations based on
    the data to achieve company and departmental goals. Also produces insights to help drive business strategies
    through the use of advanced statistical modeling.
    -Analyze employee and applicant testing and other human capital data.
    -Analyze bi-annual employee survey data. Analyze data from other company departments.

    -Utilize mathematical models in order to perform hypothesis testing.
    -Applies lean thinking and tools to identify and eliminate waste in all areas of the position.
    Role Specifics:
    Travel – Occasional overnight travel of up to 1-2 nights per month for conferences or meetings. Must have
    ability to travel independently as needed, without restriction by all modes of transportation, including car, plane,

     

    What Can Dot Offer You?
    As a family-owned and -operated company since 1960, Dot Foods has created a strong family culture within
    the business. As a vital part of that family unit, we want to ensure you feel included and respected for any
    differing ideas. We appreciate those opinions and count on them to make us successful. In addition to an
    inclusive working environment, we will provide you with:
    - A friendly working environment
    - Highly competitive compensation and benefits package
    - Significant advancement opportunities

    Qualifications

    We Need You To Have:
    - Master’s degree in a quantitative discipline or
    equivalent Dot Foods’ experience.
    - Proven background in applied mathematics and
    advanced statistics including regression analysis,
    analysis of variance, correlations, and linear algebra.
    - Ability to manage multiple tasks and meet critical
    deadlines.
    - Ability to work independently with multiple internal
    company departments and locations.
    - Experience in writing applied dissertation results
    from research.
    We’d Like You To Have:
    - Experience in variable mapping across
    multifunctional databases
    - Experience in data warehouse technologies
    such as Teradata.
    - Proficiency in Data Science, quantitative
    analytics, forecasting and predictive analytics,
    multivariate testing and optimization
    algorithms.
    - Proficiency in the use of statistical packages
    such as SPSS, Python, R, Cognos or Weka.

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