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Afternoon Data Analyst R Programming Jobs in Riverside, MO

WellSky

Data Analyst

Overland Park, KS · On-site

Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations. * Perform ...

WellSky

Data Analyst

Overland Park, KS

$2.5K/yr

Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations. * Perform ...

EquipmentShare

Data Analyst - People

Kansas City, MO · On-site

Python or R experience required. * SQL experience preferred. * Strong organizational skills and attention to detail. * Basic understanding of data management and analysis. * Ability to work ...

EquipmentShare

Data Analyst - People

Kansas City, MO · On-site

Python or R experience required. * SQL experience preferred. * Strong organizational skills and attention to detail. * Basic understanding of data management and analysis. * Ability to work ...

Quest Diagnostics

Sr. Data Analyst (Looker)

Lenexa, KS · On-site

$80K - $100K/yr

Experience with Python and/or R for data analysis, automation, and statistical modeling. * Experience developing automated analytical workflows and reusable reporting solutions. * Experience in ...

Varsity Tutors

Data Science Tutor

Kansas City, 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 ...

Varsity Tutors

Data Science Tutor

Overland Park, KS · 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 ...

Pwc

Data Strategy-Manager

Kansas City, MO

$99K - $232K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Riverside, MO

Afternoon Data Analyst R Programming information

See Riverside, MO salary details

$32.9K

$79.9K

$131.5K

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

As of Jul 29, 2026, the average yearly pay for afternoon data analyst r programming in Riverside, MO is $79,892.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,400.00 and $93,800.00 per year, depending on experience, location, and employer.

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.

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 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 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 job categories do people searching Afternoon Data Analyst R Programming jobs in Riverside, MO look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Riverside, MO are:
Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in Riverside, MO as of July 2026, with employment types broken down into 1% As Needed, 59% Full Time, 32% Part Time, 1% Temporary, 1% Contract, and 6% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $79,892 per year, or $38.4 per hour.
Data Analyst

Data Analyst

WellSky

Overland Park, KS • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 14 days ago

WellSky rating

7.3

Company rating: 7.3 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

180th of 246 rated software companies

Job description

The Data Analyst for Value-Based Insights (VBI) is responsible for transforming Medicare (CMS) claims data into metrics, benchmarks, and measures that power WellSky's VBI product for Home Health and Hospice providers and payers. This role builds and maintains claims-based data extracts and performance measures, translates CMS methodologies and regulatory rules into production analytics, and partners with product and engineering to deliver trusted, data-driven insights. The work is retrospective, methodology-driven, and directly tied to how agencies measure and improve value-based performance.
Key Responsibilities:
  • Build and maintain claims-based data extracts and measures from CMS data sources, including the Chronic Conditions Warehouse (CCW) and Limited Data Set (LDS), to support VBI Home Health and Hospice solutions.
  • Develop and maintain performance measures such as HHVBP claims-based measures, MSPB-PAC, Functional Items, hospitalization/ER/PPH/DTC rates, utilization and efficiency metrics, length of stay, and composite/percentile scores.
  • Interpret CMS regulations and annual Final Rules (e.g., HHVBP methodology, eTPS calculations) and translate measure specifications into accurate, reproducible SQL logic.
  • Write and optimize SQL against large claims datasets in BigQuery; contribute to data pipelines, quarterly lookup-table refreshes, and extract automation.
  • Produce referral pattern, competitive analysis, market/benchmark extracts, and validate outputs against CMS public benchmarks (e.g., Home Health Compare) and client expectations.
  • Investigate data quality issues and metric discrepancies, and document methodology, data sources, and assumptions so results are auditable and repeatable.
  • Prepare data for downstream BI/visualization layers (e.g., Sisense) and collaborate with product managers and engineers to define technical requirements and analytical interpretations.
  • Perform other job duties as assigned.

Required Qualifications:
  • Bachelor's degree in quantitative, health-informatics, or related field, or equivalent work experience.
  • 2-4 years of experience in data analysis, with demonstrated proficiency in SQL against large, complex datasets.
  • Direct experience working with Medicare/CMS claims data (e.g., CCW, LDS, LDS/RIF files, or comparable claims sources).
  • Comfort with healthcare claims coding structures (e.g., ICD, HCPCS/CPT, revenue codes, DRGs).
  • Ability to translate written specifications or methodologies into analytical logic and validate results for accuracy.

Preferred Qualifications:
  • Knowledge of Home Health and/or Hospice operations, post-acute care, or value-based care programs (e.g., HHVBP, HHVBP eTPS, hospice HIS/HOPE).
  • Experience with CMS quality/value-based program methodologies and familiarity with reading CMS regulations/Final Rules.
  • Hands-on experience with BigQuery (or a comparable cloud data warehouse such as Snowflake) and a BI tool such as Sisense, Tableau, or Power BI.
  • Familiarity with risk adjustment or benchmarking concepts.
  • Scripting experience (e.g., Python) for data transformation and automation.

Job Expectations:
  • Willing to work additional or irregular hours as needed, particularly around quarterly CMS data refreshes and annual Final Rule cycles.
  • Must work in accordance with applicable security and HIPAA policies to safeguard company and client protected health information.
  • Must be able to sit and view a computer screen for extended periods of time.

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WellSky is where independent thinking and collaboration come together to create an authentic culture. We thrive on innovation, inclusiveness, and cohesive perspectives. At WellSky you can make a difference.
WellSky provides equal employment opportunities to all people without regard to race, color, national origin, ancestry, citizenship, age, religion, gender, sex, sexual orientation, gender identity, gender expression, marital status, pregnancy, physical or mental disability, protected medical condition, genetic information, military service, veteran status, or any other status or characteristic protected by law. WellSky is proud to be a drug-free workplace.
Applicants for U.S.-based positions with WellSky must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. Certain client-facing positions may be required to comply with applicable requirements, such as immunizations and occupational health mandates.
Here are some of the exciting benefits full-time teammates are eligible to receive at WellSky:
  • Excellent medical with Rx, dental, and vision benefits
  • Mental Health support through EAP
  • Generous paid time off, plus 13 paid holidays
  • 100% vested 401(K) retirement plans
  • Educational assistance up to $2500 per year

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