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Afternoon Data Analyst R Programming Jobs in Dearborn, MI

Stellantis

Business & Data Analyst

Auburn Hills, MI · On-site

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 ...

The Ideal Group

CODING DATA ANALYST

Warren, MI · On-site

Coding Data Analyst will investigate coding and purchasing issues and interface as needed with manufacturers, Manufacturing & Engineering (M&E), plant requestors, and the coding team. Coordinate and ...

New

The Ideal Group

CODING DATA ANALYST

Warren, MI · On-site

Coding Data Analyst will investigate coding and purchasing issues and interface as needed with manufacturers, Manufacturing & Engineering (M&E), plant requestors, and the coding team. Coordinate and ...

New

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96.90K - $132.30K/yr

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and ... As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96.90K - $132.30K/yr

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and ... As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the ...

SynergisticIT

Data Analyst

Dearborn Heights, MI · On-site

... AWS, Azure), DevOps tooling (Jenkins, Docker, Kubernetes), and full- • stack development ... We help you validate your skills with Oracle Java SE, AWS, Power BI, Spring, or Data Science ...

SynergisticIT

Data Analyst

Detroit, MI · On-site

... , DevOps tooling (Jenkins, Docker, Kubernetes), and full-stack development workflows. * Hands-On ... We help you validate your skills with Oracle Java SE, AWS, Power BI, Spring, or Data Science ...

Varsity Tutors

Data Science Tutor

Detroit, MI · Remote

$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 ...

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$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 ...

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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 May 28, 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 are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

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 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 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.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

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 popular job titles related to Afternoon Data Analyst R Programming jobs in Dearborn, MI? For Afternoon Data Analyst R Programming jobs in Dearborn, MI, the most frequently searched job titles are:
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
Infographic showing various Afternoon Data Analyst R Programming job openings in Dearborn, MI as of May 2026, with employment types broken down into 79% Full Time, 14% Part Time, 5% Contract, and 2% Nights. Highlights an 98% Physical, and 2% Remote job distribution, with an average salary of $75,922 per year, or $36.5 per hour.
ICT AI Business Analyst/Data Analyst

ICT AI Business Analyst/Data Analyst

Stellantis

Auburn Hills, MI • On-site

Full-time

Posted 18 days ago

Stellantis rating

7.4

Company rating: 7.4 out of 10

Based on 122 frontline employees who took The Breakroom Quiz

17th of 44 rated automakers

Job description

Role Summary The AI Business Analyst (AI BA) bridges business stakeholders and technical teams to identify, define, and deliver AI/ML and generative AI solutions that create measurable business value. This role translates business problems into clear requirements, supports data and model readiness, helps manage delivery from discovery through adoption, and ensures solutions meet governance, risk, and compliance expectations.
Key Responsibilities:
  • Partner with stakeholders to understand objectives, pain points, and decision processes; translate into AI use cases and user stories.
  • Facilitate discovery workshops; document current-state processes, target outcomes, and measurable KPIs/OKRs.
  • Define functional and non-functional requirements for AI products (accuracy, latency, explainability, human-in-the-loop, monitoring, and auditability).
  • Collaborate with data engineering and analytics to identify data sources, data quality needs, labeling requirements, and feature definitions.
  • Support model lifecycle planning with product/ML teams (training approach, evaluation metrics, drift monitoring, retraining triggers).
  • Draft and maintain documentation: business requirements, process flows, acceptance criteria, test cases, and release notes.
  • Coordinate UAT and operational readiness; validate outputs with SMEs and ensure adoption plans are in place (training, comms, support).
  • Contribute to AI governance activities: risk assessments, privacy and security reviews, model documentation, and compliance alignment.
  • Track delivery progress, dependencies, and risks; communicate status and facilitate decision-making.
  • Measure post-launch performance and benefits realization; identify enhancements and new opportunities.

Basic Qualifications:
  • Bachelor's degree in Business, Information Systems, Data/Analytics, Computer Science, or related field
  • Minimum 3 years of experience in business analysis, product analysis, or a related role delivering data/analytics or software solutions.
  • Demonstrated ability to write clear requirements (epics/user stories/acceptance criteria) and map processes.
  • Working knowledge of AI/ML concepts (supervised vs. unsupervised learning, evaluation metrics, model drift) and/or generative AI concepts (prompting, retrieval-augmented generation, hallucinations/grounding).
  • Experience partnering with technical teams (data engineering, data science, software engineering) using Agile delivery methods.
  • Strong stakeholder management, facilitation, and communication skills; able to explain technical topics to non-technical audiences.

Preferred Qualifications:
  • Experience delivering AI products in production, including monitoring and continuous improvement.
  • Hands-on analytics skills (SQL; familiarity with Python/R; dashboarding tools such as Power BI/Tableau).
  • Familiarity with cloud data/AI platforms (e.g., Azure, AWS, GCP) and MLOps concepts.
  • Knowledge of responsible AI practices (bias/fairness considerations, explainability, privacy-by-design).
  • Domain expertise in the business area supported (e.g., finance, supply chain, customer service, manufacturing, healthcare).
  • BA/PM certifications (CBAP, PMI-PBA, PSPO/CSPO, SAFe) are a plus.

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