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Data Analyst R Programming Jobs in Michigan (NOW HIRING)

AAA Life Insurance Company

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL). * Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

Bachelor's or Master's degree in Computer Science, Applied Mathematics, Statistics, Engineering, or a related quantitative field * Minimum 5 years of experience in data analytics, business ...

HCLTech

Data Analyst

Farmington, MI · On-site

Data Analyst Farmington Hills, Michigan (Onsite) Working Hours and Time zone: 8:30 AM to 5 PM EST ... digital, engineering, cloud and AI, powered by a broad portfolio of technology services and ...

New

Integrated Resources INC

DATA ANALYST

Detroit, MI

... analyzing programs, processes, and procedures to extract, transform, integrate, and load data into ... programming languages and tools (Oracle 12c; MS SQL Server 2012) Knowledge of logical data modeling ...

FastTek

Data Analyst

Okemos, MI

Data Analyst #1058274 ... We are seeking an Analytics Engineer (contract) to support development of scalable analytics ...

LHH US

Accounting Data Analyst

Grand Rapids, MI

We are seeking a detail-oriented Accounting Data Analyst to support financial reporting, accounting ... Experience using Python, R, or advanced analytics tools. * Experience supporting multi-entity or ...

LHH US

Accounting Data Analyst

Grand Rapids, MI

We are seeking a detail-oriented Accounting Data Analyst to support financial reporting, accounting ... Experience using Python, R, or advanced analytics tools. * Experience supporting multi-entity or ...

Stellantis

Data Analyst / Front End

Auburn Hills, MI · On-site

The Data Analyst / Front-End App Developer is responsible for designing, building, and maintaining analytics and front-end data applications that support Purchasing data products. The role focuses on ...

Advantasure, Inc.

Audit Data Analyst

Detroit, MI · On-site

Responsible for assisting in the continuous improvement and maturity of the data analytics program ... Knowledge of Python, R, Cognos, SQL, or SAS. * Must be able to travel to various BCBSM and ...

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Data Analyst R Programming information

What is a data analyst r programming?

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 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 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 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:

Data Analyst R Programming jobs near you
Infographic showing various Data Analyst R Programming job openings in Michigan as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 13% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Analyst III

AAA Life Insurance Company

Livonia, MI • On-site

$90 - $120/hr

Other

Re-posted 4 days ago

Job description

Overview

Operating within the core values and operating principals of the organization, the Data Analyst III ensures that AAA Life Insurance makes effective business and operational decisions. As a Data Analyst, you will be at the forefront of transforming data into actionable insights. This role involves extracting, analyzing, and visualizing data to provide valuable recommendations that drive marketing strategies and decision-making.

Responsibilities
  • Lead & develop automated, easy to understand reports and ad hoc analyses to address specific marketing questions and provide insights to guide decision making.
  • Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends, patterns, and key performance metrics.
  • Collaborate closely with marketing teams to interpret data and provide actionable insights to optimize marketing campaigns, customer segmentation, and overall strategy.
  • Develop and implement data governance and quality assurance processes.
  • Create and maintain Power BI reports and dashboards to translate complex data into clear visualizations that marketing staff can easily interpret and use to inform their strategies.
  • Lead and develop key performance indicators (KPIs), tracking marketing initiatives against established goals, and providing regular updates to stakeholders.
  • Conduct A/B tests and statistical analyses to evaluate the effectiveness of marketing strategies, making data-driven recommendations for improvements.
  • Collaborate with marketing teams to segment audiences effectively and personalize marketing approaches based on data-driven insights.
  • Maintain clear and organized documentation of data sources, methodologies, and analysis results.
  • Mentor junior data analysts regarding best practices in field.
Qualifications
  • Bachelor in Statistics, Marketing, Economics, Computer Science, or related technical field. Master’s degree is a plus.
  • A minimum of five years’ experience working as a Data Analyst, Marketing Analyst, or similar role.
  • Extensive experience in data analysis tools and programming languages (i.e., Python, R, SQL).
  • Ability to create and interpret reports and dashboards using Power BI, Tableau, or similar data visualization tools.
  • Proficiency with marketing analytics tools and platforms (i.e., Google Analytics, Adobe Analytics).
  • Solid understanding of statistical concepts and experience with A/B testing and hypothesis testing.
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment.
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