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

The Data & Systems Analyst I is a member of the Technology & Analytics team responsible for ... developers, bankers, operations associates, among hundreds more. Let's talk about how you can find ...

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What You'll Be Doing The Data & Systems Analyst I is a member of the Technology & Analytics team ... developers, bankers, operations associates, among hundreds more. Let's talk about how you can find ...

As a Data Engineering & Analytics Intern, you will join our Digital Sector on the Global Solutions Management - Operations II (GSM-O II) contract at Scott AFB, IL. This is a unique opportunity to ...

... data and software students for ourSummer 2027 Internship Program (Starts May 2027). As aData Engineering & Analytics Intern, you will join ourDigital Sectoron the Global Solutions Management ...

Job Title: Entry-Level Civil Engineer The Entry-Level Civil Engineer will support geotechnical ... Apply strong analytical and critical thinking skills to solve engineering problems encountered ...

... data models, and queries to support application functionality and basic analytics or reporting ... oriented programming โ€ข Foundational experience with frontend frameworks such as React, Angular ...

Senior Specialist, Federal Data Engineer

Saint Louis, MO ยท On-site

$103K - $140K/yr

Python, R, SQL, SAS) * Perform operations to prepare data for analysis (e.g. data cleansing, data ... Proficiency in programming languages such as Python, Scala, SQL * Ability to travel as required to ...

Data & AI Platform Engineer

Saint Louis, MO

$111K - $133K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

Showing results 41-60

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:

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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.

$80K - $250K/yr

Full-time

Retirement, PTO

Re-posted 25 days ago


Key responsibilities

  • Build data pipelines needed for models and data-driven outputs.

  • Develop, optimize, and maintain machine learning models and data pipelines.

  • Translate business and project requirements into insights, models, and data products.


Job description

Absolute Business Solutions Corp (ABSC) is not just another tech company. We're a community of innovators, engineers, analysts and business professionals working together with our customers to tackle the most complex challenges. For more than 20 years we've supported critical DoD, IC and Federal Civilian missions and global, multi-national corporations. We specialize in supporting our clients in the Intelligence, Technology, Defense, AI/ML, and Data Science fields. As we continue to grow at a rapid pace, we are seeking some amazing new professionals to join our team.
We are actively hiring a TS/SCI-cleared Data Scientist to work closely with our sister company/software Syntasa where you'll be leveraging a multitude of big data, ML and statistical methods to help our customers realize the potential of modern data science and data-driven approaches. You will be working from an end-to-end basis by building the data pipelines needed for your models, building/optimizing the models and enabling your data driven outputs to be leveraged by both stakeholders and downstream applications. We work across several public sector and commercial clients, thus allowing your data expertise to help facilitate positive outcomes across a broad range of sectors. This role is 100% on site in Herndon, VA; Springfield, VA; St. Louis, MO; or Aurora, CO with the possibility of hybrid work in the future (requirements driven).
Clearance Required for this role: TS/SCI eligibility with willingness/ability to obtain CI polygraph.
Requirements:
  • Bachelor's Degree with at least 2 years๏ฟฝ experience in an analytical role as a data scientist, analyst or machine learning engineer. Will consider years๏ฟฝ experience in lieu of degree.
  • An ability to work with data using SQL and tools for statistical analysis (eg. Python, R)
  • Solid knowledge of statistics and probability, with demonstrated experience applying these techniques to commercial use cases such as ML models and A/B tests
  • Demonstrated experience of developing, deploying and maintaining ML models and data pipelines within a commercial setting.
  • Demonstrated experience of translating business and/or project requirements into insights, models and data products that generated tangible business value.
  • An ability to work effectively in a team setting and familiarity with commercial collaboration tools such as JIRA and Confluence.
  • A strong communicator able to present data driven insights to non-technical stakeholders while also having fruitful conversations with engineering teams
  • Curiosity and attention to detail with regards to data quality, distributions, biases and governance.
  • An ability to work effectively within a fast paced and dynamic environment.
  • An awareness and keen interest in the latest trends / techniques within data, machine learning and AI.
  • Fluent in Python/Scala/R as well as SQL/NOSQL with demonstrable experience.
  • Experience with Apache Spark
  • or other Big Data tools like Apache Flink/MapReduce
  • Familiar with Big Data tools such as EMR/ Dataproc /Cloudera/Hortonworks
  • Familiar with orchestration tools such as Airflow/DBT/NiFi
  • Experience with LLM's and GPT models a plus.

Desired qualifications
  • Experience with cloud solution providers such as GCP, AWS and Azure
  • Prior experience building robustable and reusable code
  • Knowledge of NLP and Image processing
  • Prior experience with REST APIs
  • An understanding of version control, modularity and maintaining code within a production setting.
  • An understanding of the web analytics and digital marketing ecosystem (eg. Adobe, Salesforce, Google)
  • Prior experience working with DMPs and CDPs
  • Prior consulting experience

Salary is commensurate with experience. Salary range for this requisition is: $80k-$250k annual. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Who we are:
ABSC is a technology and services company that combines the agility of a small business with proven processes refined over more than two decades in business. We specialize in supporting public sector clients in the Intelligence, Defense, Health, and Safety areas. Our team stands ready to deliver the next generation of programs, personnel, and solutions to help advance our federal government customers๏ฟฝ driving innovation, agility, and security across all mission areas.
Some of our benefits include:
  • Generous PTO plus 11 Federal Holidays
  • Retirement Planning ๏ฟฝ 401k Fully Vested with Match
  • Annual Health and Wellness Allowance ๏ฟฝ buy an Apple Watch, a treadmill, or hit the gym on us
  • Career Development ๏ฟฝ Annual Funds to spend on Education and Training
  • Volunteer Time Off ๏ฟฝ Annually, all employees can spend 8 hours directly supporting a charity of choice
  • Charitable Match ๏ฟฝ ABSC matches an employee's donation to a qualifying charity
  • Referral Program ๏ฟฝ We pay for internal and external referrals!
  • LOV Awards ๏ฟฝ Earn bonus awards throughout the year from our Living Our Values awards program

Apply to join our team today! We are always looking to grow our team - if you know someone who is seeking a new career opportunity, please share this job opening with them! ABSC offers generous external referral bonuses. You don't need to be an employee to benefit from our Referral Program!
*ABSC is a proud V3, Virginia Values Vets, member which recognizes our commitment to hiring Veterans. If you are a veteran, please be sure to include that in your application. Thank you! *
Equal Opportunity Employer, including veterans and individuals with disabilities.