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Entry Level Data Analyst R Programming Jobs in Saint Louis, MO

Data Analyst

Creve Coeur, MO · On-site

$71 - $135/hr

Data Analyst As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions ... Partner with Commercial, Data Engineering and Science teams to provide better insights into product ...

Whether you've earned a technical degree, gained hands-on programming experience, or worked ... Now hiring for our Data Engineer cohort starting in November 2026. To apply, please submit a formal ...

Python, R, Alteryx, SQL, SAS) * Perform operations to prepare data for analysis (e.g., data cleansing, data integration, data transformation) * Gather analytic requirements from client * Develop ...

We are seeking Completions Jr. Data Analysts located in Houston to provide part of the 24/7 ... Four-year college degree (petroleum engineering, geology, geoscience, any engineering preferred)

Data Science Tutor

Saint Louis, 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 ...

Civil or environmental engineering * Stormwater or wastewater systems * Sewer flow monitoring * Environmental data analysis * Trend and outlier analysis * Geographic Information Systems (GIS)

Civil or environmental engineering * Stormwater or wastewater systems * Sewer flow monitoring * Environmental data analysis * Trend and outlier analysis * Geographic Information Systems (GIS)

Civil or environmental engineering * Stormwater or wastewater systems * Sewer flow monitoring * Environmental data analysis * Trend and outlier analysis * Geographic Information Systems (GIS)

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Entry Level Data Analyst R Programming information

See Saint Louis, MO salary details

$12

$32

$60

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

As of Sep 6, 2026, the average hourly pay for entry level data analyst r programming in Saint Louis, MO is $32.01, 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 the most commonly searched types of Data Analyst R Programming jobs in Saint Louis, MO?

The most popular types of Data Analyst R Programming jobs in Saint Louis, MO are:

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

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

What job categories do people searching Entry Level Data Analyst R Programming jobs in Saint Louis, MO look for?

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

What cities near Saint Louis, MO are hiring for Entry Level Data Analyst R Programming jobs?

Cities near Saint Louis, MO with the most Entry Level Data Analyst R Programming job openings:

Infographic showing various Entry Level Data Analyst R Programming job openings in Saint Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $66,585 per year, or $32 per hour.

Data Analyst

Socket.dev

Creve Coeur, MO • On-site

$71 - $135/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 19 days ago


Key responsibilities

  • Collaborate with cross-functional teams to derive insights that influence decision making and improve business performance.

  • Develop and interpret reports, visualizations, and data analytic processes to support business needs.

  • Lead data exploration, validation, and analytical experiments to support project objectives.


Job description

At Bayer we’re visionaries, driven to solve the world’s toughest challenges and striving for a world where 'Health for all Hunger for none’ is no longer a dream, but a real possibility. We’re doing it with energy, curiosity and sheer dedication, always learning from unique perspectives of those around us, expanding our thinking, growing our capabilities and redefining ‘impossible’. There are so many reasons to join us. If you’re hungry to build a varied and meaningful career in a community of brilliant and diverse minds to make a real difference, there’s only one choice.
Data Analyst
As Bayer Crop Science's Digital Farming arm, we deliver sustainable digital solutions using the latest agronomic science, data science, engineering, and real-world farming experience. With groundbreaking technologies like FieldView™ our team is a part of some of the most important advancements in agriculture. The Science Technical Community is focused on creating a competitive advantage for Bayer and our customers through metrics, insights, and data services. We are an entrepreneurial team that builds and leverages state-of-the-art analytics systems. Our work informs decisions and direction for our business, while also impacting our products.
Digital Farming Solutions (DFS) is seeking a Data Analyst to collaborate with Commercial, Marketing and Science teams and support the execution of global commercial strategies. The Data Analyst will work with key stakeholders and cross-functional teams to derive insights that influence decision making and improve business performance. This includes exploratory analysis of large data sets, identification of metrics/KPIs, creation of reports, storytelling and development & maintenance of data analytic processes and systems.
Your Tasks And Responsibilities
The primary responsibilities of this role are to:

  • Be a trusted partner to DFS Leaders and other stakeholders helping them to solve problems and advance their understanding of the business.
  • Serve as a subject matter expert on data collected by FieldView and other sources and provide support to global teams advising them on data processes and related systems.
  • Work on the development of reporting solutions by interpreting business requirements and delivering innovative solutions (automated/ad-hoc reporting) to address them. Assist with storytelling by creating content that helps to visualize and interpret data trends.
  • Lead projects for areas of ownership and perform data exploration and validation.
  • Design and execute analytical experiments and perform statistical analysis as needed.
  • Partner with Commercial, Data Engineering and Science teams to provide better insights into product and agronomic data.
  • Develop the technical roadmap with the Data Engineering teams and is responsible for maintaining and documenting critical business reporting rules.
  • Data mining, statistical analysis, and data visualization to help understand how growers are interacting with our product.
  • Provide knowledge transfer, personal development to analysts through work experience and coaching/feedback.

Who You Are
Bayer seeks an incumbent who possesses the following:
Required:

  • Bachelor’s degree in Business, Economics, Statistics, Computer Science, Math or a related quantitative discipline and at least 2 years of relevant analytic experience.
  • Understanding of master data management, relational databases, columnar databases, ETL and data warehousing.
  • Experience with SQL and proficient with either PySpark or BigQuery for handling large-scale datasets
  • Ability to execute research projects and generate practical results and recommendations.
  • Intermediate Excel and PowerPoint skills and proficient in SQL and Python, including use of common data analysis libraries (e.g., NumPy, Pandas, Matplotlib, Seaborn).
  • Development experience with BI platforms like Tableau or Power BI, including building dashboards and user interfaces for cross-functional stakeholders.
  • Self-starter who enjoys working in both individual and team settings.
  • Excellent communication and collaborative skills.

Preferred:

  • Master’s degree in Data Science, Statistics or a related discipline.
  • Experience with AI-Assisted Development(Cursor, Copilot,MyGenAssist, Gemini, etc)
  • A deep understanding of statistical analysis and experiment design
  • Experience conducting data manipulations and analysis of geospatial and/or agronomic datasets, including formats such as WKT, Shapefile and GeoJSON
  • Experience applying machine learning and statistical libraries (e.g., Scikit-learn, TensorFlow, Keras) to geospatial and/or agronomic data
  • Experience performing geospatial data manipulation and visualization to derive insights from agricultural or biotechnology data
  • Familiarity with version control and CI/CD practices (e.g., GitLab, Docker, package management such as Conda or Poetry) to build, test and deploy analytics code and pipelines

Employees can expect to be paid a salary of approximately $71k-135k. Additional compensation may include a bonus or incentive program (if relevant). Additional benefits include health care, vision, dental, retirement, PTO, sick leave, etc.. This salary (or salary range) is merely an estimate and may vary based on an applicant’s location, market data/ranges, an applicant’s skills and prior relevant experience, certain degrees and certifications, and other relevant factors.
This posting will be available for application until at least 6/30/26.
YOUR APPLICATION
Bayer offers a wide variety of competitive compensation and benefits programs. If you meet the requirements of this unique opportunity, and want to impact our mission Health for all, Hunger for none, we encourage you to apply now. Be part of something bigger. Be you. Be Bayer.
To all recruitment agencies: Bayer does not accept unsolicited third party resumes.
Bayer is an Equal Opportunity Employer/Disabled/Veterans
Bayer is committed to providing access and reasonable accommodations in its application process for individuals with disabilities and encourages applicants with disabilities to request any needed accommodation(s) using the contact information below.
Equal Opportunity Employer Statement: Notice for U.S. Visitors: All information on this site is subject to compliance with local rule and regulations as they may vary from time to time and across different geographies, including, without limitation, U.S. Executive Orders.
Bayer is an E-Verify Employer.
Location:
United States : Missouri : Creve Coeur
Division:
Crop Science
Reference Code:
872023
Contact Us
Email:
hrop_usa@bayer.com

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