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

Data Engineer

Kansas City, KS

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a ...

Data Engineer

Kansas City, KS · On-site

$107K - $129K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a ...

Associate Data Engineer

Kansas City, KS · On-site

$110K - $132K/yr

Strong SQL proficiency -- ability to write queries to explore, validate, and analyze data * Proficiency in Python or another programming language; comfort writing scripts and automation * Basic ...

Data Engineer - Senior Associate

Kansas City, MO · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Data Engineer

Leawood, KS · On-site

$111K - $133K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The Data Engineer partners closely with data architecture, analytics, and business teams to deliver robust solutions across the modern data stack. This position is fully in office 5 days a week in ...

Full Lifecycle Data Engineer

Kansas City, MO · On-site

$111K - $134K/yr

Successful candidates combine software engineering, data engineering, and analytics engineering skills to deliver reliable, scalable data products that power analytics, applications, and machine ...

New

Quality Engineer II

Blue Springs, MO · On-site

$67K - $87K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Take a lead role in the execution of Gauge R&R, capability analysis, dimensional verification, and ... Prepare reports by collecting, analyzing, and summarizing quality data to evaluate process ...

Showing results 21-40

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:

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

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

$107K - $129K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Associated Wholesale Grocers rating

6.8

Company rating: 6.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores


Job description

Data Engineer

Location: 5000 Kansas Avenue Kansas City, KS 66106

Department: IT

Make us your BEST Choice! 

Associated Wholesale Grocers (AWG) is transforming our business intelligence, analytics, and data automation capabilities. The goal is to level up data warehousing and data management capabilities, including curated and cleansed data sets, certified data models and sources. We are adapting to cloud-based data automation for data cleansing, extraction, loading, transformations and visualizations. Another goal is to expand storage and compute capacity for ingestion of structured and unstructured data.

As an Associate Analyst (Data Engineer) on the Data Analytics Team, you will be integral to this journey. Your primary area of responsibility will be building a strong data ecosystem which supports a new company-wide business intelligence and analytics environment. You will assist in the design and development of standardized datasets derived from multiple systems of record. A key area of success for this role is developing or applying existing development and scripting skills in process automation to orchestrate data pipelines from business systems, data lakes and third-party data repositories. You will be creating and loading dimensional models that will be used for analysis and reporting. As you work on projects and enhancements you will assist in refining data governance within business processes and the technical tool chain. A key to success in this role is to quickly learn the meaning of business data and understand the business domain. 

Scope: This role is a learning position that requires hands-on review and supervision from leads, managers and occasionally Directors.

Position Responsibilities:

Support Availability and Services (50-60%)

  • Troubleshoot and develop solutions to problems, including using AWG approved AI tools such as Gemini, CoPilot and NotebookLM.
  • Collaborate with other developers and support engineers to resolve production, enhancement or development issues.
  • Participate in an on-call rotation for integration and transformation pipelines, legacy systems, and modern data platforms that may involve occasional off-hours and weekend support.
  • Take ownership of following on-call procedures and instituting permanent fixes for repetitive problems.
  • Maintain documentation for legacy systems, jobs, modern pipelines, and modernization implementation.
  • Understand and implement change control procedures (including RFC, CAB, CI/CD).

Deliver Solutions (25%)

  • Build real-time and batch data integrations from disparate source systems into the data lake/data warehouse/delta lake.
  • Build and maintain scalable ETL processes using workflow automation tools.
  • Provide documentation (including Technical Design Documents) for installations and deliverables.
  • Design dimensional models and be able to cleanse and transform raw data into structured formats.
  • Administer and maintain data pipelines used for loading data into the data warehouse or lakehouse.
  • Scale and tune data pipelines, data sets, and SQL queries.
  • Responsible for Unit testing, support of Integration testing, and User Acceptance Testing.
  • Required Basic Skills: Develops timely and proper change documentation. Proactively communicates status to key stakeholders to diagnose and ensure delivery is on track. Takes ownership of assignments. Proactively drives results and seeks support when hitting barriers. Exhibits curiosity to understand how changes fit into the overall scope.

Learning and Continuous Improvement (10-20%)

  • Responsible for understanding and adoption of IT Architecture practice.
  • Continuous learning of existing and future data technologies and tools.
  • Apply standard methodologies to analyze, design, develop, test, and deploy data management solutions.
  • Participate in agile story authoring, sizing, and demo sessions for developed features.
  • Participate in code reviews and receive feedback from the team.
  • Propose process improvements for continuous department maturity.

Align Roadmap and Strategy (5%)

  • Collaborate with business partners to understand their business problems or needs and desired outcomes.
  • In collaboration with other members of the team and user community, configure cloud-based capabilities that enable the AWG community.
  • Communicate priorities to the technology organization to drive effective business solutions.
  • Maintain verbal and written issue identification and status updates to cross-functional teams and leadership.

Position Requirements:

  • Experience: 1-3 years of data engineering or related experience (Associate Analyst level). Basic understanding of data modelling, mapping and data quality/governance practices.
  • Education: Bachelor's degree in software engineering, computer science, computer information systems, or related degree, or equivalent professional experience.
  • SQL Skills: Must be able to read/write SQL in the following environments (SQL Server, Oracle, DB2).
  • Cloud Experience: Experience working in cloud data environments (AWS, Azure). Experience working with AWS or Azure workflow orchestration tools.
  • Data Systems: Experience working with one or more columnar storage systems (Snowflake, Redshift, BigQuery, etc.).
  • Process: Must have completed at least one full cycle of building a data lake and/or a data warehouse.
  • Analytical Skills: Knowledge and skills with Power BI will be important, not critical.
  • Soft Skills: Strong business communications skills for requirements gathering and development. Ability to multi-task and change priorities.

Nice To Have:

  • Worked with or built Data Lakes, Data Warehouse in a hybrid environment (cloud / on-premises).
  • Experience working with CRM systems like Salesforce.
  • Experience with end-to-end supply chain or merchandising.
  • Exposure to data streaming tools and technologies like Kafka, TensorFlow or similar.
  • Basic knowledge and understanding of statistics and awareness of data science methodologies.

Associated Wholesale Grocers, Inc. (AWG) is the nation's largest cooperative food wholesaler to independently owned supermarkets, serving 1,100 member companies and 3,500 locations throughout 33 states from 9 wholesale division support centers. Consolidated sales for AWG in 2024 were $12.1 billion. In addition to its cooperative wholesale operations, the company also operates subsidiary companies that provide certain real estate and supermarket development services, and pharmaceutical products. For more information, visit AWGinc.com.

 Benefits:

  • Medical, Dental, & Vision Insurance

  • Health Savings Account

  • Dependent Care Flexible Spending Account

  • Paid Vacation, Holiday, and Sick Time

  • 401(k) with 4% match along with 3 other contributions

  • Tuition Reimbursement

  • Basic & Supplemental Life and AD&D

  • Employee Assistance Program

  • Short-Term and Long-Term Disability 

  • Wellness Program

  • Yearly Holiday Bonus


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