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Afternoon Data Analyst R Programming Jobs in Wixom, 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 ...

Spectrum Health

Data Analyst Senior

Royal Oak, MI · Hybrid

$80K - $101K/yr

Performs the initial analysis of data, develops customized reports to facilitate meaningful ... Determines programming/interface needs within the department/service to DS programming staff and ...

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 ...

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 ...

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 ...

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 ...

Stellantis

Quality Data Analyst

Sterling Heights, MI · On-site

They will work with Engineering and assembly plant personnel to track issue resolution and ensure ... Analyze warranty claim data * Perform analysis of warranty data to identify trends, emerging issues ...

Stellantis

Quality Data Analyst

Sterling Heights, MI · On-site

They will work with Engineering and assembly plant personnel to track issue resolution and ensure ... Analyze warranty claim data * Perform analysis of warranty data to identify trends, emerging issues ...

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 ...

Rock Connections

Senior Data Analyst - Product

Detroit, MI · On-site

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership ... Conceptual knowledge of software programming fundamentals Preferred Qualifications * Domain ...

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Showing results 21-40

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

Afternoon Data Analyst R Programming information

See Wixom, MI salary details

$32.6K

$79.2K

$130.4K

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

As of Sep 3, 2026, the average yearly pay for afternoon data analyst r programming in Wixom, MI is $79,211.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $93,000.00 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 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 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 popular job titles related to Afternoon Data Analyst R Programming jobs in Wixom, MI?

For Afternoon Data Analyst R Programming jobs in Wixom, MI, the most frequently searched job titles are:

What job categories do people searching Afternoon Data Analyst R Programming jobs in Wixom, MI look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in Wixom, MI are:

What cities near Wixom, MI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near Wixom, 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 Wixom, MI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $79,211 per year, or $38.1 per hour.

WORKFORCE DATA & REPORTING ANALYST

CrossFire Group

Detroit, MI

$34.27/hr

Full-time, Contractor

Posted 6 days ago

Job description

WORKFORCE DATA & REPORTING ANALYST
Power BI | SQL | Data Visualization | Operational Reporting

Location: Detroit, MI 48226
Work Schedule: Monday through Friday, 40 hours per week
Pay Rate: $34.27 per hour
Job Type: Full-Time Contract

Position Overview
Our client is seeking a detail-oriented Workforce Data & Reporting Analyst to support workforce planning, workload management, operational reporting, and data-driven decision-making.

This position will collect and analyze data, develop routine and ad hoc reports, create metrics and visualizations, and provide recommendations based on findings. The analyst will also gather business requirements, write database queries, coordinate follow-up activities, and help ensure workforce and operational information is accurate and accessible.

The ideal candidate has strong analytical and organizational skills, experience working with data and reporting tools, and the ability to translate complex information into clear, understandable reports and visualizations.

Responsibilities
  • Support workforce planning and workload-management activities.
  • Maintain, track, and analyze workforce and operational data.
  • Generate routine and ad hoc reports, metrics, and performance summaries.
  • Gather, review, validate, and organize data from multiple sources.
  • Analyze information, identify trends, and make data-supported recommendations.
  • Write and execute database queries to retrieve and analyze information.
  • Create dashboards, charts, and other visual representations of data.
  • Present data in a clear and understandable format for business stakeholders.
  • Gather requirements for reports, projects, and analytical requests.
  • Coordinate follow-up activities, including scheduling meetings, updating data, and revising reports.
  • Monitor assigned projects and reporting requests through completion.
  • Maintain accurate documentation related to reports, metrics, and analytical processes.
  • Work collaboratively with team members and internal business partners.
Minimum Qualifications
  • Bachelor’s degree in information technology, business analytics, data analytics, computer science, mathematics, finance, business, or a related field.
  • Proficiency with Microsoft Office, particularly Excel.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to review data for accuracy and identify trends or inconsistencies.
  • Strong written and verbal communication skills.
  • Ability to manage multiple assignments and meet deadlines.
Preferred Qualifications
  • Experience developing reports or dashboards in Power BI.
  • Experience writing queries in SQL Server or another relational database.
  • Knowledge of data visualization and reporting best practices.
  • Experience with workforce planning, operational reporting, or performance metrics.
  • Advanced Excel skills, including pivot tables, lookups, charts, and data manipulation.
  • Programming or scripting experience using R, JavaScript, PHP, C++, or a similar language.
  • Experience gathering business requirements and translating them into reports or analytical solutions.
Ideal Candidate
You may be a strong fit if you enjoy working with data, finding patterns, creating reports, and helping teams make informed decisions. This opportunity may be suitable for an early-career analyst with strong technical skills or an experienced reporting professional seeking to apply Power BI, SQL, and data-visualization expertise in an operational environment.

Apply Today
If you are an analytical professional with experience in reporting, database querying, or data visualization, we encourage you to apply. Please submit your resume highlighting your experience with Power BI, SQL, Excel, dashboards, reporting, and data analysis.

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