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Entry Level Data Analyst R Programming Jobs in Minneapolis, MN

Varsity Tutors

Data Science Tutor

Minneapolis, MN · 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

Saint Paul, MN · 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

Edina, MN · 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 ...

Deloitte

Data Product Analyst

Minneapolis, MN · On-site

These solutions are powered by engineering for business advantage, helping transform mission ... Professional development From entry-level employees to senior leaders, we believe there's always ...

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All JobsData Analyst R Programming JobsEntry Level Data Analyst R Programming JobsEntry Level Data Analyst R Programming Jobs in Minneapolis, MN

Entry Level Data Analyst R Programming information

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$13

$34

$64

How much do entry level data analyst r programming jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for entry level data analyst r programming in Minneapolis, MN is $34.37, according to ZipRecruiter salary data. Most workers in this role earn between $22.07 and $38.37 per hour, depending on experience, location, and employer.

What is the difference between Entry Level Data Analyst R Programming vs Data Scientist?

AspectEntry Level Data Analyst R ProgrammingData Scientist
Required SkillsBasic R programming, data cleaning, visualization, ExcelAdvanced R, Python, machine learning, statistical modeling
Work EnvironmentBusiness, finance, marketing teamsResearch, tech, healthcare, diverse industries
CertificationsData analysis, R programming coursesData science, machine learning certifications

Entry Level Data Analyst R Programming roles focus on data cleaning, visualization, and basic analysis using R, often within business environments. Data Scientists require advanced statistical and programming skills, including machine learning, and work on complex predictive models across various industries. While both roles involve data handling, Data Scientists typically have a broader skill set and handle more complex projects.

What is an Entry Level Data Analyst (R Programming)?

An Entry Level Data Analyst (R Programming) is a professional who uses the R programming language to collect, process, and analyze data to help organizations make informed decisions. They typically work with large datasets, create visualizations, and generate reports under the guidance of more experienced analysts. Entry-level data analysts are often responsible for basic data cleaning, statistical analysis, and supporting team projects while they develop their skills in R and data analysis techniques.

What are the key skills and qualifications needed to thrive as an Entry Level Data Analyst specializing in R Programming, and why are they important?

To thrive as an Entry Level Data Analyst specializing in R Programming, you need a solid grounding in statistics, data cleaning, and analytical methods, typically supported by a relevant degree such as statistics, mathematics, or computer science. Proficiency in R programming, familiarity with data visualization tools (e.g., ggplot2), and experience with spreadsheet software or SQL are commonly required. Strong attention to detail, problem-solving abilities, and clear communication skills set outstanding candidates apart in this role. These skills are crucial to accurately interpret data, deliver actionable insights, and effectively collaborate with teams to support data-driven decision-making.

What are some typical challenges entry-level data analysts face when working with R programming in a team setting?

Entry-level data analysts using R often encounter challenges such as adapting to existing codebases, understanding team-specific data workflows, and ensuring code reproducibility and documentation for collaborative projects. New analysts may also need to quickly learn version control practices (like using Git) and follow standardized procedures for data cleaning and reporting. Regular communication with senior analysts and participation in code reviews are essential to build both technical proficiency and teamwork skills.
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 Entry Level Data Analyst R Programming jobs in Minneapolis, MN? For Entry Level Data Analyst R Programming jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Analyst R Programming jobs in Minneapolis, MN look for? The top searched job categories for Entry Level Data Analyst R Programming jobs in Minneapolis, MN are:
Entry Level Data Analyst R Programming jobs near you
Infographic showing various Entry Level Data Analyst R Programming job openings in Minneapolis, MN as of July 2026, with employment types broken down into 6% Internship, 83% Full Time, and 11% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $71,487 per year, or $34.4 per hour.
Data Analyst

Data Analyst

Horizon Technologies Inc.,

Minneapolis, MN

Full-time

Re-posted 19 days ago

Job description

Company Description

Horizon Technologies is one of the fast growing, CA based organization specializing in IT consulting and business services for mid to large size organizations. Our team has excellent track record of providing excellent career Counseling and Placements in the shortest time. Over the last seven years, our client base of Fortune 100 companies has expanded dramatically

Job Description

Assist the Implementation Lead in collaborating with market management to identify and engage key providers to collect member encounter and clinical data from.

Act as the primary resource to educate providers on the required file standards and submission processes.

Define record layouts and mapping documents to transform provider files to the standard layout used for supplemental data processing.

Develop and maintain processes to transform and enrich provider files used for supplemental data processing.

Assist with defect, incident and problem management by interrogating data bases and processing logs to investigate issues.

Provide daily updates to tracking registers for reporting implementation and operational progress.

Qualifications

Ability to adapt to a fast-paced, quickly changing environment 

2-years of experience with SQL queries 

2-years development/implementation experience as an application/integration developer 

2-years of experience with standard health care file format including CCD, CCDA, HL7 etc. 

2-years of experience with MS SQL Server Client, Toad, MS Access, or equivalents 

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