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People Analytics Analyst

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Kentucky (USA), Michigan (USA), United States

Offer summary

Qualifications:

Bachelor’s degree in a quantitative field, 5+ years of experience in data science, Hands-on experience using SQL or Python, Experience with data visualization tools like Power BI.

Key responsabilities:

Develop metrics, dashboards, and predictive models
Consult with stakeholders on analytical opportunities

Meijer Retail (Super / Hypermarket) XLarge https://www.meijer.com/

10001 Employees

See more Meijer offers

Job description

As a family company, we serve people and communities. When you work at Meijer, you’re provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family – take care of your career and your community!

Meijer Rewards

Weekly pay
Scheduling flexibility
Paid parental leave
Paid education assistance
Team member discount
Development programs for advancement and career growth

Please review the job profile below and apply today!

This role is responsible for solving and uncovering workforce opportunities by applying scientific approaches to people data. Through a strong partnership with business stakeholders this role develops and maintains our data ecosystem built in Microsoft Fabric, workforce reporting, dashboards in PowerBI, and statistical modeling to deliver reliable, relevant and actional insights.

This position follows a Flexible Remote schedule. Candidate must be able to travel to Corporate Office as needed but will primarily work from home office. Residence required in our six state footprint: MI, WI, IL, OH, IN and KY.

What You’ll be Doing:

Develop descriptive metrics, diagnostic dashboards and predictive models to translate data into actionable workforce insights or diagnose root cause issues.
Enable analytics capabilities by deploying advanced data analytics, data mining, visualization to drive decision making aligned to people objectives.
Consults with internal stakeholders on workforce analytical opportunities including needs assessment, hypothesis building, solution development and stakeholder management to apply best in class analytics.
Design, program and execute automated data movement and reporting through our data lakes to ensure accurate and complete data sets are available for inclusion in dashboards, analysis and modeling.
Contribute to the development and execution of an integrated data model to ensure data is optimally gathered and transformed to enable reliable reporting and analysis.
Effectively communicate results from data queries, statistical analysis, predictive modeling, and machine to provide recommendations while promoting data literacy.
Ensure processes and procedures for proper data security for all work products.
This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required.

What You Bring with You (Qualifications):

Bachelor’s degree in Business, Math, Statistics, Economics, other quantitative field, or equivalent experience.
5 + years of experience in business analysis or data science.
Competent and hands on experience using one or more of the following: SQL , Python or Pyspark.
Experience with applications used for analytical, quantitative, and to apply statistical techniques and tools to derive insights from large, complex data environments solving complex and ambiguous business problems in a timely manner.
Advanced experience working with raw/unstructured or other data sets and have good knowledge of data warehousing.
Experience with data movement applications like Alteryx or similar.
Experience with data visualization tools like Power BI or similar.
Experience manipulating large data sets through statistical software or other methods.
Demonstrated experience with judgment and discretion when dealing with highly sensitive people data and business issues.
Curious and inquisitive with strong critical thinking and analytical skills.
Enjoys informing and influencing stakeholders with data and insights.