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Statistical Analysis Data Reconfiguration Jobs in Michigan

Sr Data Analyst

Jackson, MI · On-site

$78K - $98K/yr

Performs statistical analysis and interprets results from advanced analytical techniques. * Supports data investigations and analytical needs for departmental initiatives. * Performs other duties as ...

A bachelor's degree from an accredited university in Materials Science and Engineering, Data Science, Computer Science, Mathematics, Statistics, Analytics, or related * 2+ years of professional data ...

Data Science Tutor

Detroit, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Kalamazoo, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Experience in applying advanced data and statistical analysis methods to industrial manufacturing data * Visualization tools: Power BI, Tableau * Engineering data tools: SQL, SAS, Minitab, JMP, MS ...

Experience in applying advanced data and statistical analysis methods to industrial manufacturing data * Visualization tools: Power BI, Tableau * Engineering data tools: SQL, SAS, Minitab, JMP, MS ...

Summarize, analyze and visualize study data using a variety of statistical methods, ultimately delivering results to an agreed timeline with optimal quality. * Provide statistical consultancy support ...

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Statistical Analysis Data Reconfiguration information

See Michigan salary details

$26.1K

$61.4K

$102.4K

How much do statistical analysis data reconfiguration jobs pay per year?

As of Jul 26, 2026, the average yearly pay for statistical analysis data reconfiguration in Michigan is $61,404.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $70,600.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Analysis Data Reconfiguration vs Data Analyst?

AspectStatistical Analysis Data ReconfigurationData Analyst
Primary FocusRearranging and transforming data sets for analysis readinessInterpreting data to generate reports and insights
Skills & CertificationsStatistical software, data manipulation, certifications like CAP or SASData visualization, SQL, Excel, often with a bachelor's degree in related fields
Work EnvironmentData processing teams, research labs, analytics departmentsBusiness units, marketing, finance, or operations teams

While both roles involve working with data, Statistical Analysis Data Reconfiguration specializes in preparing and transforming data for analysis, whereas Data Analysts focus on interpreting data to produce reports and insights. Understanding these differences helps organizations assign the right skills to each role.

Can I make 6 figures as a data analyst?

Statistical Analysis Data Reconfiguration roles can offer six-figure salaries, especially with experience, advanced skills in programming languages like Python or R, and proficiency with data visualization tools. Salaries vary by industry, location, and level of expertise, but high-level data analysts with specialized skills can reach or exceed six figures.

Is 40 too late for data science?

The role of a Statistical Analysis Data Reconfiguration specialist typically requires strong analytical skills and experience with data tools. Age is generally not a barrier if you have relevant skills, certifications, and a solid understanding of data analysis, programming languages like Python or R, and statistical methods. Many professionals successfully transition into data science later in their careers by building their technical expertise and portfolio.

Is statistical analysis and data reconfiguration a real job?

Yes, statistical analysis and data reconfiguration are real job functions often performed by data analysts, statisticians, or data engineers. These roles involve analyzing data sets, restructuring data for better usability, and using tools like SQL, Python, or R to support decision-making processes.

How much does statistical analysis and data reconfiguration pay?

Salaries for roles involving statistical analysis and data reconfiguration typically range from $60,000 to $100,000 annually, depending on experience, education, and industry. Professionals often use tools like R, Python, or SQL, and certifications such as SAS or data analysis degrees can influence compensation.
What are popular job titles related to Statistical Analysis Data Reconfiguration jobs in Michigan? For Statistical Analysis Data Reconfiguration jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Statistical Analysis Data Reconfiguration jobs in Michigan look for? The top searched job categories for Statistical Analysis Data Reconfiguration jobs in Michigan are:
What cities in Michigan are hiring for Statistical Analysis Data Reconfiguration jobs? Cities in Michigan with the most Statistical Analysis Data Reconfiguration job openings:
Infographic showing various Statistical Analysis Data Reconfiguration job openings in Michigan as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $61,404 per year, or $29.5 per hour.
Data Analytics Specialist - Employee Relations

Data Analytics Specialist - Employee Relations

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 9 days ago


Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 129 frontline employees who took The Breakroom Quiz

18th of 44 rated automakers


Job description

Stellantis is seeking a Data Analytics Specialist to develop analytical tools and insights that improve workforce attendance, support operational performance, and strengthen Employee Relations decision-making.
The primary focus of the role is attendance and absenteeism analytics. The successful candidate will partner with Employee Relations, Manufacturing, IT, and other functions to consolidate data, identify trends and root causes, and translate findings into actionable recommendations.
Primary Responsibilities
  • Analyze attendance, absenteeism, operational performance, employee engagement, and related Employee Relations issues.
  • Collect, cleanse, integrate, validate, and analyze data from multiple sources.
  • Develop and improve recurring absenteeism reports, dashboards, scorecards, and key performance indicators.
  • Identify trends, root causes, emerging risks, and predictive indicators affecting workforce availability and business performance.
  • Translate analytical findings into clear recommendations for Employee Relations and Manufacturing leadership.
  • Apply statistical analysis, machine learning, artificial intelligence, and data visualization to support business decisions.
  • Build and maintain repeatable data pipelines, datasets, queries, and analytical tools.
  • Use advanced Microsoft Excel, Access, Power Query, SQL, and related technologies to prepare data, automate reporting, and improve analytical efficiency.
  • Communicate findings through concise visualizations, presentations, and executive summaries.

Basic Qualifications
  • Bachelor's degree, or anticipated completion of a bachelor's degree, in Computer Science, Data Science, Statistics, Applied Mathematics, Operations Research, Engineering, or a related quantitative field
  • A minimum of 3 years of experience supporting data science, advanced analytics, business analytics, or statistical modeling projects
  • Advanced proficiency in Microsoft Excel, Access, Power Query, and SQL
  • Experience integrating, cleansing, validating, and analyzing data from multiple sources
  • Working knowledge of statistical analysis, machine learning, artificial intelligence, data visualization, and dashboard development
  • Ability to translate complex data into practical business recommendations
  • Strong communication, problem-solving, and cross-functional collaboration skills
  • Experience with benchmarking and performance comparisons
  • Strong presentation and data-storytelling skills

Preferred Qualifications
  • Master's degree, or equivalent experience, in a quantitative field
  • Five or more years of experience delivering data science or advanced analytics projects
  • Experience in attendance, workforce, manufacturing, operational, employee, or customer analytics
  • Proficiency in Python or R and experience with predictive modeling or data mining
  • Experience with business intelligence and automation tools such as Power BI, QlikView, Cognos, VBA, or Power Automate
  • Knowledge of manufacturing operations, finance, labor economics, behavioral economics, or project and change management

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