1

Afternoon Data Analyst R Programming Jobs in Minneapolis, MN

Data analysts work in collaborative scrum teams with developers, data scientists, and data ... Programming skills using Python, R, etc. ("or similar") * Demonstrated experience presenting ...

Essential Functions * Back-End Development (Data Engineering & Modernization): Building out data ... Introductory experience with statistical analysis tools (e.g., Python, R) and data processing ...

New

Data Analyst

Saint Paul, MN · On-site +1

$100K - $110K/yr

Overview The Data Analyst identifies and develops opportunities to leverage data from enterprise ... Familiarity with statistical programming languages such as SAS, R, or Stata is helpful, but not ...

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... Proficient with business intelligence/analytical tools and programming languages (e.g. R, Python ...

Data Analyst Principal - Product Owner HealthPartners is hiring a Data Analyst Principal - Product ... Expert programming skills using Python, R, etc. ("or similar") * Demonstrated experience and skill ...

HealthPartners is hiring a Data Analyst Principal - Product Owner. The Product Owner drives the ... Expert programming skills using Python, R, etc. ("or similar") * Demonstrated experience and skill ...

HealthPartners is hiring a Data Analyst Principal - Product Owner. The Product Owner drives the ... Expert programming skills using Python, R, etc. ("or similar") * Demonstrated experience and skill ...

Data Analyst Principal

Bloomington, MN · On-site

$48.37 - $74.97/hr

HealthPartners is hiring a Data Analyst Principal - Product Owner. The Product Owner drives the ... Expert programming skills using Python, R, etc. ("or similar") * Demonstrated experience and skill ...

Data Analyst Senior

Bloomington, MN · On-site

$86.40K - $109K/yr

Proficiency in Python, R, or similar programming languages * Strong analytical thinking and problem-solving skills * Proven ability to communicate insights through clear data storytelling

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

Data Analyst Senior

Minneapolis, MN · On-site

$89.80K - $113.30K/yr

Proficiency in Python, R, or similar programming languages * Strong analytical thinking and problem-solving skills * Proven ability to communicate insights through clear data storytelling

Sr Data Analyst

Minneapolis, MN · Hybrid

$89.80K - $113.30K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

Sr Data Analyst

Minneapolis, MN · Hybrid

$89.99K - $143.09K/yr

Summary The Senior Data Analyst, working in collaboration with and in support of the firm ... Highly proficiency in SQL and programming languages (Python/R/VBA) or other relevant programming ...

Senior Data Analyst

Minneapolis, MN · On-site

$70K - $130K/yr

Technical fluency in analytics and reporting tools, experience with statistical programming, and capable of analyzing large data sets using at least one data manipulation language (e.g., R, Python ...

Data Analyst Senior

Bloomington, MN

$86.40K - $109K/yr

Proficiency in Python, R, or similar programming languages * Strong analytical thinking and problem-solving skills * Proven ability to communicate insights through clear data storytelling

next page

Showing results 1-20

Afternoon Data Analyst R Programming information

See Minneapolis, MN salary details

$35.5K

$86.3K

$142K

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 Minneapolis, MN is $86,260.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $101,200.00 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 the most commonly searched types of Data Analyst R Programming jobs in Minneapolis, MN? The most popular types of Data Analyst R Programming jobs in Minneapolis, MN are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Minneapolis, MN? For Afternoon Data Analyst R Programming jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Minneapolis, MN look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Afternoon Data Analyst R Programming jobs? Cities near Minneapolis, MN with the most Afternoon Data Analyst R Programming job openings:
Data Analyst

Data Analyst

HealthPartners

Bloomington, MN • On-site

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


HealthPartners rating

7.9

Company rating: 7.9 out of 10

Based on 125 frontline employees who took The Breakroom Quiz

101st of 864 rated healthcare providers


Job description

HealthPartners is hiring Senior Data Analyst. Our mission is to provide simple and affordable healthcare. HealthPartners teams use data to improve patient and member experience, improve health, and reduce the per capita cost of health care. HealthPartners data analysts are responsible for driving adoption and use of data and analytic services and products. Data analysts work in collaborative scrum teams with developers, data scientists, and data engineers, and may share accountabilities in order to achieve sprint goals. They maintain a working knowledge of a business domain and its associated data, and provide visualization, analysis, validation, and consultation services. Together with their teams, they work on building scalable solutions to extract knowledge from data, and deliver that knowledge as needed and at scale.

ACCOUNTABILITIES:

  • All team members must champion and model our values of partnership, curiosity, compassion, integrity, and excellence, and must contribute to a culture of continuous learning
  • Partners with domain experts, business groups, and data engineers to frame problems, model, clean and integrate data, and determine the best way to leverage that data in service of a goal 
  • Works with business partners to understand and create their "user stories;" they support opportunities to leverage data analytics in service of customer or business value 
  • Creates, deploys, monitors, and maintains highly interactive data visualizations 
  • Participates in strategic measurement activities, including Return on Investment (ROI) analyses, Key Performance Indicator (KPI) development, risk assessment and indexing, as well as domain-specific measurements (example: readmission rates) 
  • Works with their teams to ensure data accessibility, accuracy, and quality, and may act as data stewards by contributing to management of central data stores and metadata
  • May provide consultative, data-driven support on product and business strategy development 
  • Sets up and executes test cases to validate that analytic and software solutions meet the business acceptance criteria 
  • Communicates solution tradeoffs to business partners to frame and influence project decisions 
  • Leverages internal and external sources to validate data accuracy and benchmark results
  • Promotes and champions our security and de-identification standards, while they handle sensitive administrative data (medical and pharmacy claims, clinical data, and other sensitive organizational data assets). 
     

REQUIRED SKILLS/ QUALIFICATIONS:

  • Candidates must have a degree in economics, mathematics, business, computer science, data or social science, operations research, statistics, or a related quantitative field. Alternate experience and education in equivalent areas is acceptable. Experience in more than one area is strongly preferred. 
  • Four years direct experience using technical and analytical skills to extract, integrate, layout and interpret complex and disparate data sources 
  • Demonstrated experience using data visualization tools such as Microsoft Power BI, Tableau, etc.
  • Demonstrated ability to tell stories using data
  • Solid working experience with SQL and relational database design
  • Programming skills using Python, R, etc. ("or similar")
  • Demonstrated experience presenting findings and actionable recommendations
  • Must be motivated, self-driven, curious, and creative
  • Ability to communicate and demonstrate an ability to work with development teams, end users and business partners
  • Demonstrated ability to support and complement the work of a diverse development and / or operations team
     

PREFERRED QUALIFICATIONS:

  • Pharmacy data experience
  • Knowledge of health care operations
  • Exposure to agile/scrum (including tools like JIRA)
  • Experience using Azure Data Lake, DevOps, Power Automate, or other tools in the Azure Suite 
  • Working knowledge of medical terminology, medical coding systems; ICD-10, CPT4, DRG, GPI. 
  • Familiarity with software development, data and integration architecture
     

At HealthPartners we believe in the power of good - good deeds and good people working together. As part of our team, you'll find an inclusive environment that encourages new ways of thinking, celebrates differences, and recognizes hard work.

We're a nonprofit, integrated health care organization, providing health insurance in six states and high-quality care at more than 90 locations, including hospitals and clinics in Minnesota and Wisconsin. We bring together research and education through HealthPartners Institute, training medical professionals across the region and conducting innovative research that improve lives around the world.

At HealthPartners, everyone is welcome, included and valued. We're working together to increase diversity and inclusion in our workplace, advance health equity in care and coverage, and partner with the community as advocates for change.

Benefits Designed to Support Your Total Health
As a HealthPartners colleague, we're committed to nurturing your diverse talents, valuing your dedication, and supporting your work-life balance. We offer a comprehensive range of benefits to support every aspect of your life, including health, time off, retirement planning, and continuous learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and financially, so you can continue delivering exceptional care.

Join us in our mission to improve the health and well-being of our patients, members, and communities.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant because of race, color, sex, age, national origin, religion, sexual orientation, gender identify, status as a veteran and basis of disability or any other federal, state or local protected class.


What HealthPartners employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom