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Afternoon Data Analyst R Programming Jobs in Dearborn, MI

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 ...

Integrated Resources INC

DATA ANALYST

Detroit, MI · On-site

... 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 ...

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 ...

New

Belcan

Automotive Data Analyst

Dearborn, MI · Hybrid

$30 - $35/hr

This pivotal role is ideal for candidates with a robust background in data analytics for engineering who are seeking to continue their career in the automotive industry. Responsibilities: * Safety ...

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

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 ...

Canopy

Senior Data Analyst

Detroit, MI · Remote

$96K - $132K/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 · On-site +1

$96K - $132K/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 ...

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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

BI Data Analyst With GCP (W2 Position)

Megan soft Inc

Dearborn Heights, MI • On-site

Other

Re-posted 20 days ago

Job description

Hi We have a job opportunity of a Role BI Data Analyst With GCP with given job description on W2. Please forward updated profile to Koti@megansoft.com or +1  (248) 671-4750.

Role: BI Data Analyst With GCP (W2 Position)

Location: Dearborn, MI (Hybrid)

Duration: 12+ Months

Experience: 6+ Years

JD:

Skills Required:

  • Data Mining, Data Analysis, Data Warehousing, Data/Analytics dashboards, Data Model, Data Integrity, Visual Design, Analytical skills, Analyst, Artificial Intelligence & Expert Systems

Skills Preferred:

  • GCP, Big Query, Data/Analytics dashboards, SonarQube, Business Intelligence, Artificial Intelligence & Expert Systems

Experience Required:

  • Senior Associate Exp: 3 to 5 years experience in relevant field

Key Responsibilities

  • Create strong business partnership for intelligent solutions through stakeholder interviews and solution designs
  • Own the design, implementation and maintenance of ongoing metrics, reports, analyses and end-user tools to drive key business decisions. Use advanced visualization tools like Qlik, Dash Enterprise, Tableau, PowerBI etc.
  • Conduct deep-dive analysis of business problems and data issues to formulate recommendations for business improvement and technical efficiency. Use data modeling tools, data analysis tools, advanced programming languages like R, Python, SQL, etc.
  • Identify and implement avenues to optimize and enhance data analysis, interpretation and visualization tools, techniques and methodologies for functional analysts
  • Design and implement new metrics, techniques and strategies to improve business KPI, metrics unity and end-user adoption
  • Partner with Data Engineering, Data Science and Data Management teams to improve data completeness, usability, and performance
Thanks & Regards
Azmeera koti
Megan Soft, Inc.
17177 N. Laurel Park Dr;
Suite #337, Livonia, MI - 48152.
Direct No: +1  (248) 671-4750
E Mail : Koti@megansoft.com
Website : www.megansoft.com
Linked In ID : www.linkedin.com/in/koti-azmeera-104253335