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Afternoon Data Analyst R Programming Jobs in Dearborn, MI

Stellantis

Business & Data Analyst

Auburn Hills, MI

Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use ...

Tech Tammina LLC

Data / BI Architect

Pontiac, MI · On-site

$63.25 - $81.50/hr

... R Programming for data visualizations, Python, TensorFlow, PyTorch, Keras, Scikit-learn, Apache Spark, Databricks, Jupyter Notebooks, AWS (SageMaker, EC2, S3), Azure (Machine Learning Studio ...

Masco Corporation

Business Data Analyst

Livonia, MI · On-site

The Business Data Analyst is also the operational steward of product attribution providing hands-on ... Working knowledge of Agile story and backlog tooling (Azure DevOps, Jira, or similar)

Aptiv

QLIK Programmer / Quality Data Analyst

Troy, MI · On-site

QLIK Programmer / Quality Data Analyst Why join Aptiv? You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of ...

Aptiv

QLIK Programmer / Quality Data Analyst

Troy, MI · On-site

QLIK Programmer / Quality Data Analyst Why join Aptiv? You'll have the opportunity to work on cutting-edge applications, develop breakthrough technologies, and deliver innovative solutions to some of ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Dearborn, MI

Afternoon Data Analyst R Programming information

See Dearborn, MI salary details

$31.2K

$75.9K

$124.9K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 11, 2026, the average yearly pay for afternoon data analyst r programming in Dearborn, MI is $75,922.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,400.00 and $89,100.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.
What job categories do people searching Afternoon Data Analyst R Programming jobs in Dearborn, MI look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Dearborn, MI are:
What cities near Dearborn, MI are hiring for Afternoon Data Analyst R Programming jobs? Cities near Dearborn, MI with the most Afternoon Data Analyst R Programming job openings:
Afternoon Data Analyst R Programming jobs near you

Business & Data Analyst

Stellantis

Auburn Hills, MI

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 12 days ago

Stellantis rating

7.5

Company rating: 7.5 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

14th of 44 rated automakers

Job description

The Commercial Analytics team is looking for a Business and Data Analyst to join our team. Your mission is to build and scale trusted data products that power performance measurement across sales, incentives, and payments while promoting best practices, strong governance, and a high bar for data quality and reliability. As a Business and Data Analyst you will be gathering requirements, developing a rich understanding of required data, facilitating the design of deliverables, partnering with technical and business stakeholders, testing, and implementing the solution, providing support to the users, and overall project coordination.


Overview:


Business and Data Analysts work closely with data engineers, data scientists, and business teams to design analytics solutions, implement advanced algorithms, and evaluate the performance of use cases. Ideal candidates are self-motivated, inquisitive, and creative, with a strong desire to solve real-world problems using data.
In this role, you will deliver analytics quickly in a time-constrained environment, owning multiple reporting tools and presenting status and insights to management to incorporate feedback. You will partner across Sales, Brand, and Finance teams to align data across sales, incentives, and vehicle payments, and support successful adoption through knowledge transfer and change management.


The Business and Data Analyst must be able to:

  • Transform a vision into an operational project and see it through to completion in an uncertain environment
  • Define and drive toward success criteria
  • Utilize strong analytical and problem-solving skills to develop creative solutions to complex problems
  • Lead cross-functional teams in agile project management development cycles
  • Balance competing priorities in a constantly evolving environment
  • Work with internal and external stakeholders as well as vendors

Basic Qualifications:

  • Bachelor's degree in a quantitative field (e.g., Statistics, Economics, Mathematics, Computer Science, Data Science, or Operations Research)
  • Minimum of 5 years of experience in analytics, business intelligence, or data analysis roles
  • Strong technical skills with SQL for data analysis
  • Excellent quantitative and qualitative skills and the ability to evaluate processes and data objectively
  • Strong problem formulation, problem-solving, and analysis skills
  • Success in implementing projects and driving change management
  • Ability to collaborate with external data partners, agencies, and vendors
  • Proficient in Microsoft Office Suite

Preferred Qualifications:

  • Prior experience analyzing incentives and vehicle payments data, highly preferred
  • Experience in brand management, production sales or media-focused environment is desired
  • 3+ years of automotive experience
  • Comfortable working in a cloud environment
  • Experience with visualization tools such as Qlik, Power BI, or Tableau

Our Benefits — Designed with You in Mind

Comprehensive Health & Well-being Coverage
From your very first day, you’ll have access to medical, dental, vision, and prescription drug coverage — ensuring you and your family stay healthy and protected.

Generous Paid Time Off
We believe in work-life balance. That’s why we offer: 17+ paid holidays, including shut-down from December 24th through New Years Day every year. Vacation, float & wellbeing days, sick time and fully paid parental leave when your family needs you most.

Competitive Retirement Savings Plans
We help you plan for the future with:

  • An employer match on contributions to your 401k, Roth, and Catch-Up plans
  • An employer contribution, even if you don’t contribute

Income Protection & Insurance Options
Benefit from included and optional disability, life, and other insurance programs — because your peace of mind matters.

Company Vehicle Lease Program
Eligible employees and their immediate families can enjoy company vehicle lease options with included insurance, maintenance, and unlimited mileage. Plus, take advantage of exclusive discounts on Stellantis products.

Family Building Benefit
We proudly support all paths to parenthood- including fertility and infertility treatments, adoption services, and gestational surrogacy.

Support for Your Growth and Giving Back
We believe in investing in your future and your passions:

  • Tuition reimbursement
  • Student loan refinancing programs
  • 18 paid volunteer hours each year to make a difference in your community

And so much more!
When you join us, you’re not just building a career — you’re joining a company that supports you, inside and outside of work.

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