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Entry Level Data Analyst R Programming Jobs in Dayton, OH

Data Analyst

Dayton, OH ยท On-site

$28 - $36/hr

Leveraging tools such as Power BI, Microsoft Excel, Power Automate, SQL, Python, R, and other data analysis technologies, you will identify trends, uncover opportunities for process improvement, and ...

DATA ANALYST

Dayton, OH ยท On-site

DATA ANALYST FLSA STATUS: Exempt EMPLOYMENT STATUS : Full-Time CIVIL SERVICE STATUS: Unclassified ... Oracle SQL Developer/Toad or equivalent SQL development tools; Microsoft SQL Server tools; Tableau;

Analyze and audit benefit claims data to ensure compliance with plan documents, as well as carrier ... R+L Carriers offers an excellent compensation and comprehensive benefits package that includes ...

Signals Data Analyst, Mid

Dayton, OH ยท On-site

$69K - $158K/yr

Signals Data Analyst, Mid The Opportunity: Leverage SIGINT and non-SIGINT data sources to close ... Experience with scripting languages or programming languages * Ability to work in a varied ...

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Entry Level Data Analyst R Programming information

See Dayton, OH salary details

$12

$32

$60

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

As of Sep 1, 2026, the average hourly pay for entry level data analyst r programming in Dayton, OH is $32.00, according to ZipRecruiter salary data. Most workers in this role earn between $20.58 and $35.77 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 popular job titles related to Entry Level Data Analyst R Programming jobs in Dayton, OH?

For Entry Level Data Analyst R Programming jobs in Dayton, OH, the most frequently searched job titles are:

What job categories do people searching Entry Level Data Analyst R Programming jobs in Dayton, OH look for?

The top searched job categories for Entry Level Data Analyst R Programming jobs in Dayton, OH are:

What cities near Dayton, OH are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Dayton, OH with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in Dayton, OH as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,567 per year, or $32 per hour.

$28 - $36/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Job description

MSD is looking for a Data Analyst to join our team!

THIS IS AN IN-PERSON ROLE

The Data Analyst serves as a strategic partner to the business by transforming complex data into meaningful insights that drive informed decision-making and operational excellence. In this role, you will collaborate with leaders and cross-functional teams to understand business objectives, develop impactful reporting and interactive dashboards, and deliver data-driven solutions that improve efficiency, visibility, and performance across the organization. Leveraging tools such as Power BI, Microsoft Excel, Power Automate, SQL, Python, R, and other data analysis technologies, you will identify trends, uncover opportunities for process improvement, and provide actionable recommendations that support organizational goals.

The Data Analyst plays a key role in transforming data into meaningful business insights that drive smarter decisions across the organization. Using tools such as Power BI, Microsoft Excel, Power Automate, SQL, Python, and other data analysis technologies, this role develops impactful dashboards, reporting, and process documentation while partnering with stakeholders to identify opportunities, improve business processes, and deliver data-driven solutions that support organizational success.

Key Job Duties

  • Review, create, and update reporting and dashboards utilizing required system such as Power BI, Microsoft Excel, and Power Automate.
  • Communicate with appropriate team members and stakeholders to understand requirements and complete projects effectively.
  • Review, create, and update Standard Operating Procedure (SOP) documentation and maintain system functionality documentation.
  • Proactively communicates with Supervisor and business stakeholders around reporting and dashboard needs, ensuring clear understanding of requirements and timelines.
  • Work with team to develop clear and concise standard operating procedures for system usage and documents systems functionality.
  • Produce required reporting as needed on a project by project basis in systems such as: Power BI, Microsoft Excel, and/or Power Automate .
  • Produce required scripting and data analysis using data mining tools and techniques, such as SQL, R, Python, or similar on a project basis.
  • Partners with the Chief Information Officer, management, and business process owners to plan and execute on reporting and dashboard needs that support organizational goals.

Candidate Requirements:

  • Associateโ€™s or Bachelorโ€™s degree in Data Analytics, Information Systems, Business, or a related field preferred
  • High School Diploma/GED required
  • 2+ years of experience in data analysis, reporting, or business intelligence roles (or equivalent combination of education and experience)
  • Experience with Power BI, advanced Excel, and data analysis tools (SQL, Python, or R) is highly desirable
  • Able to communicate clearly in written and verbal English
  • US Citizenship or Permanent Resident Status required
  • Unencumbered US Driverโ€™s license

Benefits:

  • FREE Training and Education
  • PTO
  • 401(k) match
  • Profit Sharing
  • Competitive Medical, Vision, and Dental
  • Health Savings Account match
  • Company paid Short- and Long-Term Disability
  • Company paid Life Insurance Policy

We value our employees and are committed to doing everything possible to ensure your continued growth and opportunities!

Mechanical Services & Design complies with applicable federal civil rights laws and does not discriminate, exclude people, or treat them differently because of race, color, ethnicity, religion, culture, language, national origin, age, disability, socioeconomic status, sex, sexual orientation, or gender identity or expression in its various programs and activities.