Statistical Model Developer

1 week ago


Michigan Center, Michigan, United States MSX International Full time
About the Position

This is an exciting opportunity to join MSX International as a Statistical Model Developer. We are seeking a highly skilled professional with expertise in designing, developing and maintaining business data and statistical models. As a key member of our team, you will be responsible for creating insightful KPI reporting dashboards to drive decision-making and performance tracking.

The ideal candidate will have a Bachelor's Degree in computer science, statistics, mathematics, or relevant discipline, with 1-3 years of experience in automotive operations or similar business. Strong analytical skills, ability to understand and communicate complex data insights, and proficiency in SQL, data visualization tools (Tableau, PowerBI), and ETL tools (SSIS, Alteryx, KNIME) are required. This role is based in Southfield, MI, USD, with a competitive salary range estimated at $80,000 - $110,000 per annum.

As a Statistical Model Developer, you will work closely with our cross-functional teams to develop and maintain sound data ETL practices and processes. Your expertise in complex data analysis, data manipulation, and statistical analysis will enable you to create actionable insights that inform business decisions. If you are passionate about working with data to drive business growth, we encourage you to apply for this exciting opportunity.

Key Responsibilities
  • Design, develop and maintain business data and statistical models.
  • Create insightful KPI reporting dashboards to drive decision-making and performance tracking.
  • Develop reports and dashboards via data mining analytics and reporting tools.
  • Maintain current reports up to date and process large amounts of data as needed.
Requirements
  • Bachelor's Degree in computer science, statistics, mathematics, or relevant discipline.
  • 1-3 years of experience in automotive operations or similar business.
  • Strong analytical skills, ability to understand and communicate complex data insights.
  • Proficiency in SQL, data visualization tools (Tableau, PowerBI), and ETL tools (SSIS, Alteryx, KNIME).


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