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Remote Data Analyst R Programming Jobs in Ann Arbor, MI

Varsity Tutors

Data Science Tutor

Ann Arbor, MI · Remote

$18 - $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

Detroit, MI · Remote

$18 - $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 ...

Arbor Research

Cloud Data Architect

Ann Arbor, MI · On-site +1

$107K - $176K/yr

Collaborate with analysts, developers, and project managers to support analytic workloads in Python, R, and SQL, and data-driven decision making. * Enable secure, automated delivery of curated data ...

Munich Re

Data Scientist

Ann Arbor, MI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Explain advanced analytic and modeling procedures in the language that audiences with no predictive ... Proficiency in statistical programming languages such as R, Python, SAS, or similar, alongside ...

micro1 AI

Digital Chemistry Specialist - Remote

Detroit, MI · Remote

$90 - $120/hr

... analysis. * Evaluate and synthesize findings from biological, chemical, and clinical data sources ... programming languages commonly used in bioinformatics (e.g., Python, R, RDKit, KNIME). * Strong ...

Pyrovio

Project Controls Analyst

Ann Arbor, MI · Remote

This remote role may require occasional travel to client sites located in Ohio, Pennsylvania ... Bachelor's degree in construction engineering, construction management, construction technology ...

TD Bank Group

Principal Data Scientist (US)

Southfield, MI · On-site +1

$148K - $223K/yr

Collaborates with other partners, such as data and business analysts, software engineers, data engineers, and application developers to develop scalable and sustainable data science solutions that ...

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Remote Data Analyst R Programming information

See Ann Arbor, MI salary details

$33.3K

$80.8K

$133.1K

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

As of Aug 19, 2026, the average yearly pay for remote data analyst r programming in Ann Arbor, MI is $80,850.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,100.00 and $94,900.00 per year, depending on experience, location, and employer.

What is a remote data analyst r programming?

A Remote Data Analyst R Programming is a professional who analyzes and interprets data using the R programming language while working from a remote location. Their primary responsibilities include collecting, cleaning, and visualizing data, as well as performing statistical analyses to help organizations make data-driven decisions. These analysts often collaborate with teams online and use R to automate processes, generate reports, and create predictive models. Remote work allows them flexibility and access to a wider range of employers, while R provides powerful tools for handling complex data tasks.

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

To thrive as a Remote Data Analyst specializing in R Programming, you need strong statistical analysis skills, proficiency in R, and a background in mathematics, statistics, or a related field. Experience with data visualization tools, databases (such as SQL), and familiarity with data science platforms or certifications like the Data Science Professional Certificate are commonly required. Effective communication, problem-solving abilities, and self-motivation are crucial soft skills for excelling in remote and collaborative environments. These skills ensure accurate data-driven insights, efficient workflow, and successful teamwork across distributed teams.

How does a remote data analyst specializing in r programming typically collaborate with team members across different locations?

As a Remote Data Analyst focused on R Programming, collaboration is often facilitated through digital communication tools such as Slack, Zoom, and project management platforms like Jira or Trello. Analysts regularly share scripts, data visualizations, and reports using version control systems like Git, ensuring code transparency and reproducibility. Team meetings and code reviews are scheduled to align on project goals, troubleshoot challenges, and maintain data integrity. Building strong communication skills and documenting code thoroughly are essential for effective teamwork in a remote environment.

What is the difference between Remote Data Analyst R Programming vs Remote Data Analyst Python?

AspectRemote Data Analyst R ProgrammingRemote Data Analyst Python
Required SkillsProficiency in R, data visualization, statistical analysisProficiency in Python, data manipulation, machine learning
Work EnvironmentRemote, data-focused roles in research, healthcare, financeRemote, data-driven roles in tech, e-commerce, finance
Common CertificationsR certifications, data analysis coursesPython certifications, data science courses

Both roles involve remote data analysis but differ mainly in programming language expertise. R-focused analysts excel in statistical analysis and visualization, often in research or healthcare sectors. Python analysts are versatile in data manipulation and machine learning, commonly working in tech or e-commerce. Understanding these differences helps job seekers target roles aligned with their skills and industry preferences.

What are popular job titles related to Remote Data Analyst R Programming jobs in Ann Arbor, MI?

For Remote Data Analyst R Programming jobs in Ann Arbor, MI, the most frequently searched job titles are:

What job categories do people searching Remote Data Analyst R Programming jobs in Ann Arbor, MI look for?

The top searched job categories for Remote Data Analyst R Programming jobs in Ann Arbor, MI are:

What cities near Ann Arbor, MI are hiring for Remote Data Analyst R Programming jobs?

Cities near Ann Arbor, MI with the most Remote Data Analyst R Programming job openings:

Remote Data Analyst R Programming jobs near you
Infographic showing various Remote Data Analyst R Programming job openings in Ann Arbor, MI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $80,850 per year, or $38.9 per hour.

Prov Net Ops Data Analyst Sr

Amerihealth Caritas

Southfield, MI • Remote

$78K - $99K/yr

Full-time

Posted 11 days ago

AmeriHealth Caritas rating

8.3

Company rating: 8.3 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

129th of 310 rated insurance

Job description

Role Overview: The Senior Provider Network Operations Senior Data Analyst serves as a subject matter expert and key support resource within Provider Network Operations. This role is responsible for training new hires, keeping the team informed and prepared as process or system changes occur, supporting analysts with complex questions, and ensuring accurate, compliant, and timely processing of provider data, rosters, and provider files.

Work Arrangement:

  • Remote - This position is fully remote for candidates residing in Michigan. Occasional travel for meetings, training, or business needs may be required.

Responsibilities:

  • Serve as a go-to subject matter expert for Provider Network Operations processes, including incoming provider data, provider enrollment file completion, and Facets updates.
  • Train new hires and provide ongoing education to analysts to ensure the team remains knowledgeable, consistent, and prepared as business requirements, systems, reporting needs, or processes change.
  • Process and oversee complex provider data files, large rosters, provider enrollments, and related updates while ensuring information is entered accurately and maintained appropriately in Facets and other applicable systems.
  • Monitor analyst workloads, review processing quality, audit analyst work, identify coaching opportunities, and provide guidance to support accuracy, productivity, and adherence to established procedures.
  • Develop new ideas and recommend process improvements that strengthen data quality, streamline enrollment and roster workflows, and improve team effectiveness.
  • Ensure provider data is accurate, complete, and compliant with internal standards, business rules, and reporting requirements; research and resolve discrepancies in a timely and thorough manner.
  • Maintain strong working relationships with provider groups, internal business partners, and cross-functional teams to support provider enrollment, data integrity, issue resolution, and operational needs.
  • User Acceptance Testing (UAT)/Client Review & audit (fee schedule concentration), reviews requests prior to initial submission to EO, and claims post-production
  • Capitation reconciliations, building queries, and comparing membership
  • Internal business report development; engagement with regulatory reporting
  • BAM/claim reporting submission and analysis, depending on complexity
  • Perform additional duties and special projects as assigned.

Education & Experience:

  • Bachelor's degree or equivalent combination of education and relevant work experience.
  • 3 to 5 years of experience in data analysis, healthcare operations, provider network operations, provider data operations, or a related field.
  • Experience with provider enrollment and changes.
  • Experience developing reports and analyzing complex datasets.
  • Managed care or healthcare experience preferred
  • Knowledge of Facets or similar healthcare administration platforms.

Skills & Abilities:

  • Strong analytical and problem-solving skills with the ability to identify trends, root causes, and actionable insights.
  • Proficiency in Microsoft Office Suite, particularly Excel, Word
  • Ability to prioritize and manage multiple competing priorities and projects simultaneously in a fast-paced environment.
  • Strong attention to detail and commitment to data accuracy.
  • Excellent organizational and communication skills.
  • Patience and professionalism when training new hires, coaching analysts, and supporting team members through process or system changes.
  • Flexible, adaptable, and willing to adjust to changing business needs, priorities, and deadlines.
  • Strong team player with a collaborative approach and willingness to support others to meet team and department goals.
  • Ability to work independently while effectively collaborating with cross-functional teams.
  • Experience supporting regulatory reporting and compliance initiatives preferred.
Employment Type: FULL_TIME

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