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Entry Level Data Analyst R Programming Jobs in Kansas City, MO

EquipmentShare

Data Analyst - People

Kansas City, MO · On-site

Python or R experience required. * SQL experience preferred. * Strong organizational skills and attention to detail. * Basic understanding of data management and analysis. * Ability to work ...

EquipmentShare

Data Analyst - People

Kansas City, MO · On-site

Python or R experience required. * SQL experience preferred. * Strong organizational skills and attention to detail. * Basic understanding of data management and analysis. * Ability to work ...

EquipmentShare

Data Analyst - People

Kansas City, MO · On-site

Python or R experience required. * SQL experience preferred. * Strong organizational skills and attention to detail. * Basic understanding of data management and analysis. * Ability to work ...

Varsity Tutors

Data Science Tutor

Kansas City, MO · 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

Overland Park, KS · 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 ...

Garmin

Data Scientist 2

Olathe, KS · On-site

... analysis, and data engineering techniques to address challenging business problems. Essential ... Experience using systems such as SQL, Python, or R * Strong knowledge of machine learning ...

New

Garmin Ltd.

Data Scientist 2

Olathe, KS · On-site

$110 - $160/hr

... analysis, and data engineering techniques to address challenging business problems. Essential ... Experience using systems such as SQL, Python, or R * Strong knowledge of machine learning ...

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Entry Level Data Analyst R Programming information

See Kansas City, MO salary details

$12

$32

$60

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

As of Aug 18, 2026, the average hourly pay for entry level data analyst r programming in Kansas City, MO is $32.13, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $35.87 per hour, depending on experience, location, and employer.

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 skills and qualifications are needed to thrive as an entry level data analyst r programming?

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 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 are the most commonly searched types of Data Analyst R Programming jobs in Kansas City, MO?

The most popular types of Data Analyst R Programming jobs in Kansas City, MO are:

What are popular job titles related to Entry Level Data Analyst R Programming jobs in Kansas City, MO?

For Entry Level Data Analyst R Programming jobs in Kansas City, MO, the most frequently searched job titles are:

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The top searched job categories for Entry Level Data Analyst R Programming jobs in Kansas City, MO are:

Entry Level Data Analyst R Programming jobs near you

Data Analyst - People

EquipmentShare

Kansas City, MO • On-site

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 9 days ago

EquipmentShare rating

7.8

Company rating: 7.8 out of 10

Based on 130 frontline employees who took The Breakroom Quiz

85th of 174 rated vehicle equipment hire

Job description

Build the Future with Us - EquipmentShare is Hiring a Data Analyst - People
At EquipmentShare, we're not just filling a role - we're assembling the best team on the planet to build something that's never been built before. We're on a mission to transform an industry that's been stuck in the past by empowering contractors and communities through innovative technology, real-time support, and a team that truly cares.
We're hiring a Data Analyst - People at our rental facility in Columbia, MO, and we're looking for someone who's ready to grow with us, bring energy and drive to their work, and help us build the future of construction. As a key member of the People Analytics team, you will be responsible for shaping strategic decisions through advanced modeling and analysis. You will play a crucial role in extracting actionable insights from our data to drive informed decision-making. This role is particularly focused on the intersection of workforce intelligence and financial themes, including staffing models, factors related to quality of hire, and leader development.
Duties/Responsibilities:
  • Translate people needs and data into action: create relationships with individuals across the organization, identify quick wins, choose the appropriate statistical test and partner to implement your findings.
  • Execute against the vision for People Analytics: Support the development of the People Analytics roadmap and execute against the projects that are prioritized. Current projects cover topics in Talent Acquisition, Compensation, Workforce Planning and Employee Listening.
  • Get your hands dirty in a variety of People Analytics projects, which will involve wrangling data to enable comprehensive intelligence and tapping in where needed.
  • Learn about various data analytics tools and methods through hands-on involvement in projects and shadowing senior team members.
  • Engage with team members on multiple levels, from technical experts to senior leadership, gaining insights into the strategic role of data analytics in business decisions.
  • Prepare and analyze people-related financial data, such as labor capitalization reports.
Why EquipmentShare?
Because we do things differently - and we think you'll feel it from day one. We're a people-first company powered by cutting-edge technology. That means our proprietary T3 platform doesn't just run our business - it also makes your job easier, safer, and more connected. Whether you're behind the wheel, under the hood, leading a branch, or closing deals - tech supports you, and you drive us forward.
We're a team of problem-solvers, go-getters, and builders. And we're looking for teammates who take pride in doing meaningful work and want to be part of building something special.
Perks & Benefits
  • Competitive compensation
  • Full medical, dental, and vision coverage for full-time employees
  • Generous PTO + paid holidays
  • 401(k) + company match
  • Unlimited Paid Time Off
  • Gym membership stipend + wellness programs (earn PTO and prizes!)
  • Company events and food truck nights
  • 16 hours of paid volunteer time per year - give back to the community you call home
  • Career advancement, leadership training, and professional development opportunities
About You
You want to be part of a team that's not just changing an industry for the sake of change - we're transforming it to make it safer, more secure, and more productive. You bring grit, heart, and humility to your work, and you're excited about the opportunity to grow within a fast-paced, mission-driven environment.
We're looking for people who:
  • See challenges as opportunities
  • Embrace change and continuous improvement
  • Bring energy, effort, and optimism every day
Required Skills/Abilities:
  • Python or R experience required.
  • SQL experience preferred.
  • Strong organizational skills and attention to detail.
  • Basic understanding of data management and analysis.
  • Ability to work effectively in a fast-paced environment and adapt to evolving project requirements.
  • Excellent communication skills and the ability to work as part of a team.
Education and Experience:
  • 1-2 years of experience in a People Analyst role is preferred.
  • A degree in Psychology, Economics, Math, Statistics or anything relevant to the implementation of People Analytics.

Physical Requirements:
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift 10 pounds at times
A Workplace For All
At EquipmentShare, we believe the best solutions come from a team that reflects the world around us. Our initiative - A Workplace For All - is rooted in the belief that we must work together to solve some of the toughest problems in construction. That means attracting, developing, and retaining great people from all walks of life.
We value different backgrounds, talents, and perspectives. We want you to feel like you belong here - because you do.
EquipmentShare is an EOE M/F/D/V.
Employment is contingent on passing a background check. Additionally, some roles require passing a drug test, depending on the job responsibilities.

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About EquipmentShare

Sourced by ZipRecruiter

EquipmentShare is dedicated to creating a connected jobsite for the modern contractor . We deliver user-friendly technology solutions that help contractors maximize their equipment uptime, reduce risk exposure and increase productivity. EquipmentShare's product offerings include an improved equipment rental experience, fleet tracking and asset management software, hardware security solutions and predictive service and maintenance applications. EquipmentShare is the fastest-growing, independently owned construction equipment rental company in the country. We serve dozens of markets across the U.S. and are on track to create a national footprint in every major market in the country by the end of 2023. Our branch locations are equipped with a broad range of construction equipment, ranging from 150-foot telescopic booms to 120,000-lb. track excavators. EquipmentShare's rapid growth goes beyond meeting a demand for equipment rentals in booming new markets. Instead, our mission begins with our rental product, and it's a testimony to our ability to improve industry standards and better serve the customer. Our expansion and customer retention is a validation of strong contractor demand for the smart jobsite technology we've built into our rental fleet. And it's just the beginning of our journey to establishing a global presence.

Industry

Construction

Company size

1,001 - 5,000 Employees

Headquarters location

Columbia, MO, US

Year founded

2014

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