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Afternoon Data Analyst R Programming Jobs in Saint Louis, MO

Data Analyst The Data Analyst is responsible for collecting, processing and analyzing data to ... Proficient with business intelligence/analytical tools and programming languages (e.g. R, Python ...

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * Perform data validation and quality checks using SQL and Python

We seek the talent of a dynamic Data Analyst who seeks to bring their A game to a collaborative ... Knowledge of Python/R for data manipulation (optional but beneficial). * Experience with Power ...

Data Analyst

Saint Louis, MO · On-site

$60K - $65K/yr

The Data Analyst plays a critical role in federal and state compliance (IPEDS), internal retention ... g., SPSS, R, or Python). · Ability to translate technical data findings into clear, written ...

This is not a Data Engineer role . Candidates must have a strong analytics and data validation background. Key Responsibilities * ">Perform data validation and quality checks using SQL and Python ...

Data Analyst

Saint Louis, MO · On-site +1

$54K - $80K/yr

Bachelor's degree in data science, computer science, engineering, statistics, math, economics, or a ... Strong analytical, problem-solving and communication skills. * Strong attention to detail, time ...

Data Analyst

Saint Louis, MO · Remote

$54K - $80K/yr

Bachelor's degree in data science, computer science, engineering, statistics, math, economics, or a ... Strong analytical, problem-solving and communication skills. * Strong attention to detail, time ...

Data Analyst

Saint Louis, MO · On-site +1

$54K - $80K/yr

Bachelor's degree in data science, computer science, engineering, statistics, math, economics, or a ... Strong analytical, problem-solving and communication skills. * Strong attention to detail, time ...

Transform, re-engineer, and extract data in relational and MPP (Hadoop) databases using appropriate ... SAS, SPSS, R, or Python Microsoft Excel - experience using pivot tables, formulas, macros, VBA ...

Data Analyst (CJA)

Saint Louis, MO · Remote

$60 - $71/hr

... Launch Developer Must haves: A minimum of 10 years of experience in behavioral analytics ... Proficiency in data visualization, demonstrating value without relying on traditional sales data.

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Afternoon Data Analyst R Programming information

See Saint Louis, MO salary details

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How much do afternoon data analyst r programming jobs pay per year?

As of May 28, 2026, the average yearly pay for afternoon data analyst r programming in Saint Louis, MO is $80,345.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Afternoon Data Analyst specializing in R Programming, and why are they important?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by Afternoon Data Analysts working with R Programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is an Afternoon Data Analyst R Programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

Is data science dead in 10 years?

Data science, including roles like an Afternoon Data Analyst using R programming, is expected to remain relevant as organizations continue to rely on data-driven decision making. Advances in automation and AI may change specific tasks, but skills in data analysis, statistical methods, and programming will continue to be valuable in the foreseeable future.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

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 Afternoon Data Analyst R Programming jobs in Saint Louis, MO? For Afternoon Data Analyst R Programming jobs in Saint Louis, MO, the most frequently searched job titles are:
What cities near Saint Louis, MO are hiring for Afternoon Data Analyst R Programming jobs? Cities near Saint Louis, MO with the most Afternoon Data Analyst R Programming job openings:
Data Analyst

Data Analyst

WPS Health Solutions

Saint Charles, MO • On-site, Remote

Other

Medical, Dental, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Data Analyst

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable insights that support strategic decision-making. The role serves the division through statistical data analysis, identification of existing issues, and supporting divisional strategies of process and technology innovation and profitable growth to ensure continued quality improvement and prevent fraud, waste, and abuse. This includes analyzing, interpreting, and visualizing claims, clinical, and/or operational data from various sources and recommending best approaches for intervention. Salary Range 60,000-80,000 The base pay offered for this position may vary within the posted range based on your job-related knowledge, skills, and experience.

Our first consideration will be to have this employee live in the state of Wisconsin to take advantage of Hybrid work and collaboration. Employees within 45 miles of WPS Headquarters (1717 W. Broadway in Madison, WI, 53713) will be expected to be able to work Hybrid 2 days a week on a regular basis. As a secondary consideration, we do offer remote work in the following approved states: Colorado, Florida, Georgia, Illinois, Indiana, Iowa, Michigan, Minnesota, Missouri, Nebraska, New Jersey, North Carolina, Ohio, South Carolina, Texas, Virginia, Wisconsin.

How do I know this opportunity is right for me? If you: Like to create, test, and deploy models, reports, and analyses. Enjoy developing and maintaining dashboards and reports using tools such as Excel, Tableau, Power BI, or similar. Are energized by working with cross-functional teams to understand data needs and recommend analytical approaches. Like to analyze data trends to identify patterns, outliers, and opportunities for improvement. Participate in and/or lead projects to ensure requests are completed efficiently and accurately in accordance with contract requirements. Assist in ad hoc data requests for operational areas and their Medicare contract requirements, as necessary. Identify, recommend, and implement process improvement changes to existing processes. Research, recommend, and master new industry analytical techniques and business intelligence tools. Ensure data integrity, security, and compliance with company and industry standards.

Minimum Qualifications U.S. Citizenship is required for this position to comply with CMS regulations. Bachelor's Degree in Data Analytics, Mathematics, Statistics, Computer Science or related field or equivalent combination of education and experience. One (1) or more years of experience querying, reshaping, and visualizing data and systems. Proficient with business intelligence/analytical tools and programming languages (e.g. R, Python, SAP Business Objects, SQL, Power BI, Snowflake, Databricks). Ability to interpret analytic results and create summarizations for presentations. Proficient with MS O365 applications (e.g., Outlook, Excel, PowerPoint). Strong written and verbal communication skills. Strong problem-solving, analytical, and critical thinking skills.

Preferred Qualifications Master's Degree. Basic understanding of health insurance systems and the claims processing workflow. Experience with Medicare, Medicaid, TRICARE, VA, or healthcare claims preferred. Experience in a clinical or business data analytics role preferred.

Remote Work Requirements Wired (ethernet cable) internet connection from your router to your computer. High speed cable or fiber Minimum of 10 Mbps downstream and at least 1 Mbps upstream internet connection (can be checked at https://speedtest.net ). Please review Remote Worker FAQs for additional information.

Benefits Remote and hybrid work options available Performance bonus and/or merit increase opportunities 401(k) with a 100% match for the first 3% of your salary and a 50% match for the next 2% of your salary (100% vested immediately) Competitive paid time off Health insurance, dental insurance, and telehealth services start DAY 1 Professional and Leadership Development Programs Review additional benefits: ( https://www.wpshealthsolutions.com/careers/ )

Who We Are WPS, a health solutions company, is a leading not-for-profit health insurer and federal government contractor headquartered in Madison, Wisconsin. WPS offers health insurance plans for individuals, families, seniors and group health plans for small to large businesses. We process claims and provide customer support for beneficiaries of the Medicare program and manage benefits for millions of active-duty and retired military personnel across the U.S. and abroad. WPS has been making healthcare easier for the people we serve for nearly 80 years. Proud to be military and veteran ready.

Culture Drives Our Success WPS' culture is where the great work and innovations of our people are seen, fueled and rewarded. We accomplish this by creating an open and empowering employee experience. We recognize the benefits of employee engagement as an investment in our workforce—both current and future—to effectively seek, leverage, and include differing and unique perspectives that fuel agility and innovation on high-performing teams. This results in people bringing their authentic selves to work every day in an organization that successfully adapts to business changes and new opportunities.

We are proud of the recognition we have received from local and national organization regarding our culture and workplace: WPS Newsroom - Awards and Recognition.