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Entry Level Data Analyst R Programming Jobs in Minneapolis, MN

LivaNova

Data Analyst

Minneapolis, MN

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

New

Gravie

Data Analyst

Minneapolis, MN · On-site

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

Gravie

Data Analyst

Minneapolis, MN · Hybrid

$49K - $66K/yr

We're looking for a dynamic Data Analyst to help drive the quantitative and qualitative analysis ... Familiarity with Python, R, or another statistical programming language * Excellent attention to ...

AG Technologies

Data Analyst

Minneapolis, MN

... data from Act as the primary resource to educate providers on the required file standards and ... integration developer 2-years of experience with standard health care file format including CCD ...

Harris

Facility Data Analyst

Saint Paul, MN · On-site

$54K - $81K/yr

What we're looking for in you Bachelor's degree in computer engineering, computer science ... Analyzing time-series data from physical processes (temperature, flow, pressure, vibration) Your ...

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Entry Level Data Analyst R Programming information

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

As of Jun 18, 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:
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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 June 2026, with employment types broken down into 2% As Needed, 35% Full Time, 55% Part Time, 7% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $71,487 per year, or $34.4 per hour.

Data Analyst

LivaNova

Minneapolis, MN

$70K - $100K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

Job description

As a global medtech company, we are driven by our Vision of changing the trajectory of lives for a new day and our Mission to create ingenious solutions that ignite patient turnarounds. Our relentless commitment to patients and strong legacy of innovation in healthcare are the foundation of our future. If you're looking for a new chance, a new beginning, a new trajectory, LivaNova is where your talent can truly thrive. Join our talented team members worldwide to become a pioneer of tomorrow-because at LivaNova, we don't just treat conditions - we aspire to alter the course of lives.

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics & Data Science team across post-market surveillance, manufacturing, R&D, and clinical data sources. The Data Analyst will accomplish this by developing efficient, repeatable analytical solutions by automating routine reports, maintaining dashboards, and improving data workflows in collaboration with statisticians and business stakeholders. Additionally, they will translate stakeholder needs into practical data deliverables, with guidance, while ensuring outputs are accurate, validated, documented, and aligned with internal procedures.

Essential Job Functions

  • Generate routine and ad hoc descriptive analyses, summaries, tables, graphs, and reports to support operational, quality, product, and clinical decision-making.

  • Develop, automate, and maintain recurring reports and analytical workflows using programming tools and reproducible code to improve efficiency, consistency, and timeliness.

  • Build, enhance, and maintain dashboards and other data visualization tools that enable stakeholders to monitor key metrics and trends.

  • Transform stakeholder questions into clear analytical requirements by clarifying objectives, defining deliverables, and confirming timelines, assumptions, and data needs.

  • Partner with statisticians and subject matter experts to determine when a request is appropriate for a data analyst solution versus when deeper methodological or statistical expertise is required.

  • Perform data extraction, data cleaning, data preparation, quality checks, and documentation activities to support reliable analyses and reporting.

  • Support validation and code review activities for analytical programs and reports in accordance with internal procedures, documentation practices, and quality expectations.

  • Identify opportunities to streamline existing reporting processes, standardize recurring deliverables, and implement practical process improvements that reduce manual effort.

  • Communicate results clearly to technical and non-technical stakeholders through effective written, visual, and verbal summaries, and manage multiple requests/projects with appropriate organization and follow-through.

Minimum Requirements

  • 0-3 years of professional experience in a comparable role supporting data analytics, preferably within a medical device, pharmaceutical company, or CRO.

  • Bachelor's degree with excellent track record in mathematics, statistics, data science, computer science, business analytics or equivalent (master's preferable).

  • Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with SQL, Power BI, SAS, VBA, JavaScript.

  • Understanding of mathematical and statistical principles.

  • Willingness and ability to develop knowledge of device functionality.

  • Ability to effectively collaborate and communicate cross-functionally with engineers and clinical or medical staff.

Travel Requirements

  • Occasional travel may be required.

Pay Transparency

  • A reasonable estimate of the annual base salary for this position is $70,000 - $100,000 plus discretionary annual bonus. Pay ranges may vary by location and will be awarded based on experience.

Employee benefits include:

  • Health benefits - Medical, Dental, Vision

  • Personal and Vacation Time

  • Retirement & Savings Plan (401K)

  • Employee Stock Purchase Plan

  • Training & Education Assistance

  • Bonus Referral Program

  • Service Awards

  • Employee Recognition Program

  • Flexible Work Schedules

Welcome to impact. Welcome to innovation. Welcome to your new life.

Apply