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Data Analyst R Programming Jobs in Michigan (NOW HIRING)

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 ...

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 ...

Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to ... with the data, intelligence, and solutions needed to make informed decisions, and to help ...

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 Engineer

Southfield, MI · On-site

$114K/yr

Data Engineer (Job Code: 1391) Duties : Responsible for supporting vehicle feature level ... analysis of data collected from real-world evaluation drives; work with vehicle feature and ...

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Data Analyst R Programming information

What are the key skills and qualifications needed to thrive in the Data Analyst R Programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.

What are the most commonly searched types of Data Analyst R Programming jobs in Michigan? The most popular types of Data Analyst R Programming jobs in Michigan are:
What are popular job titles related to Data Analyst R Programming jobs in Michigan? For Data Analyst R Programming jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Analyst R Programming jobs in Michigan look for? The top searched job categories for Data Analyst R Programming jobs in Michigan are:
Infographic showing various Data Analyst R Programming job openings in Michigan as of June 2026, with employment types broken down into 82% Full Time, 5% Temporary, and 13% Contract. Highlights an 95% In-person, and 5% Remote job distribution.

Senior Data Analyst (HYBRID Worcester, MA or Howell, MI)

thg

Howell, MI • Hybrid

$80K - $101K/yr

Other

Posted 6 days ago


Job description

Our Personal Lines State Management team is currently seeking an Senior Data Analyst in our Worcester, MA or Howell, MI location. Position is eligible for Hybrid/Flex work arrangement. This is a full-time, exempt role.

POSITION OVERVIEW:

The Senior Analytics Consultant plays a critical role in leveraging data, analytics, and business insight to influence strategic decisionmaking and drive positive business outcomes across Personal Lines. This position partners closely with business leaders, agent partners, and technical teams to translate complex data into actionable insight, develop proprietary analytical tools, and optimize performance aligned to the organization’s unique distribution and operating model.

This role requires a blend of strong analytical and technical capabilities, deep insurance expertise, and the ability to effectively communicate, influence, and lead through data. The Senior Analytics Consultant operates with significant autonomy, bringing innovative thinking and creative problemsolving to complex business challenges.

IN THIS ROLE YOU WILL:

  • Lead the development, enhancement, and execution of advanced analytics, reporting, and datadriven tools supporting Personal Lines growth, profitability, and operational efficiency.
  • Apply statistical methods, business intelligence techniques, and iterative data exploration to uncover trends, performance drivers, and opportunities for improvement.
  • Design and maintain proprietary analytical tools and processes that serve as strategic differentiators, enabling agent optimization and business consolidation.
  • Partner with business stakeholders to identify key questions or problems, translate them into analytical approaches, and deliver clear, actionable insights.
  • Influence decisionmaking by synthesizing complex data into compelling narratives tailored to executive, technical, and external audiences.
  • Serve as a core analytics contributor and project lead on initiatives of large scope and moderate to high complexity, spanning multiple products, departments, or lines of business.
  • Collaborate with technical resources (data engineering, IT, PBI teams) to ensure scalable, reliable analytics solutions.
  • Take projects endtoend—from conception and requirements gathering through delivery, evaluation, and refinement—ensuring alignment with business objectives.
  • Monitor progress, evaluate results against success metrics, and make datadriven recommendations to optimize outcomes.
  • Communicate effectively with internal partners and external agent stakeholders, building trust and credibility through insightdriven dialogue.
  • Mentor and train lessexperienced analytics team members, elevating technical proficiency and analytical thinking across the organization.

WHAT YOU NEED TO APPLY:   

  • 6 plus years professional experience and bachelor’s degree. 
  • Applied Data Science, Data Science, Information and Data Science, Information
  • Management Analytics, Data Mining, Predictive Analytics are most sought-after.   
  • Degrees in Statistics, Mathematics, Computer Science, and Information Systems are also preferred.

TECHNICAL SKILLS:

  • SQL, R, Python
  • Statistical procedures & methods
  • Strategic and Critical thinker
  • Consultative
  • Problem solver, Visionary, Inquisitive
  • Good communicator, voracious learner, naturally curious