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Afternoon Data Analyst R Programming Jobs in Novi, MI

Sr. Data Analyst

Detroit, MI ยท Hybrid

$85K - $107K/yr

... data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ... Viability Analysis Statistics & Decision Analytics SQL & Python Proficiency Data & Solution ...

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 ...

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 ...

Data Analyst Senior

Royal Oak, MI ยท 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 ...

Data / BI Architect

Pontiac, MI ยท 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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

Showing results 21-40

Afternoon Data Analyst R Programming information

See Novi, MI salary details

$31.9K

$77.5K

$127.6K

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 Novi, MI is $77,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $91,000.00 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 Novi, MI?

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

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

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

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

Cities near Novi, MI with the most Afternoon Data Analyst R Programming job openings:

Infographic showing various Afternoon Data Analyst R Programming job openings in Novi, MI as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 15% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $77,532 per year, or $37.3 per hour.

$85K - $107K/yr

Contractor

Posted 22 days ago


Job description

Job Description Senior Data Analyst Location: Detroit, MI (Hybrid) Duration: 12 Month Contract Job Summary The Senior Data Analyst will lead the identification, evaluation, and development of analytics, AI, automation, and digital transformation use cases that deliver measurable business value. This role works closely with business stakeholders to understand strategic priorities, define product requirements, assess opportunities, and develop business cases and implementation roadmaps. The consultant will serve as a bridge between business, analytics, and technology teams to drive successful delivery and value realization.

Key Skills & Experience Strong business acumen and stakeholder management skills Experience with AI, analytics, automation, and digital transformation initiatives Product Requirement Document (PRD) development and business case creation Use case evaluation, prioritization, and feasibility analysis SQL and Python proficiency Statistics, forecasting, experimentation, and decision analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality Executive-level communication and presentation skills Experience translating business requirements into actionable technical requirements Core Competencies Business Acumen Product Strategy & Product Management Use Case Vetting & Prioritization PRD Development Feasibility & Viability Analysis Statistics & Decision Analytics SQL & Python Proficiency Data & Solution Architecture Awareness Executive Communication Value Realization Stakeholder Management Strategic Road mapping