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Afternoon Data Analyst R Programming Jobs in Tulsa, OK

Contract Data Analyst

Tulsa, OK

$59K - $72K/yr

Contract Data Analyst Location: Tulsa, OK Description Responsible for analysis of contracts and ... Builds programing and performs ongoing analysis, which maintains the integrity of financial ...

Data Science Tutor

Tulsa, OK · Remote

$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 ...

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

Non-Clinical - Data Entry Specialist

Tulsa, OK · On-site

$14.75 - $19.75/hr

Contract And Data Analyst Job Title: Contract and Data Analyst Profession: Contract and Data ... Builds programming and performs ongoing analysis to maintain the integrity of financial ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our ... Familiarity with project management tools and methods such as Azure DevOps, Asana, Agile, or ...

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

... analytics, and business intelligence initiatives. * Utilize ETL tools, SQL, data modeling platforms, business intelligence technologies, and programming languages to support development efforts.

Data Engineer II

Tulsa, OK · On-site

$120/hr

... analytics, and business intelligence initiatives. * Utilize ETL tools, SQL, data modeling platforms, business intelligence technologies, and programming languages to support development efforts.

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Afternoon Data Analyst R Programming information

See Tulsa, OK salary details

$31.1K

$75.5K

$124.2K

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

As of Jun 20, 2026, the average yearly pay for afternoon data analyst r programming in Tulsa, OK is $75,481.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,100.00 and $88,600.00 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 are the most commonly searched types of Data Analyst R Programming jobs in Tulsa, OK? The most popular types of Data Analyst R Programming jobs in Tulsa, OK are:
What are popular job titles related to Afternoon Data Analyst R Programming jobs in Tulsa, OK? For Afternoon Data Analyst R Programming jobs in Tulsa, OK, the most frequently searched job titles are:
What job categories do people searching Afternoon Data Analyst R Programming jobs in Tulsa, OK look for? The top searched job categories for Afternoon Data Analyst R Programming jobs in Tulsa, OK are:
What cities near Tulsa, OK are hiring for Afternoon Data Analyst R Programming jobs? Cities near Tulsa, OK with the most Afternoon Data Analyst R Programming job openings:
Contract Data Analyst

$59K - $72K/yr

Other

Posted 6 days ago


Job description

Contract Data Analyst
Location: Tulsa, OK
Description

Responsible for analysis of contracts and performing contract negotiations to include monitoring and reviewing existing contracts to ensure payment compliance, communicating and resolving contract issues both internal and external to the organization, and contributing to health system and individual contract negotiation strategies. Develops and builds contract projections models (EPIC) essential to negotiation outcomes for the health system.
Job Responsibilities:

  • Analyzes contracts and communicates operational impact of contracts to appropriate health system contacts.
  • Develop models, analysis, and monitor financial performance of existing and proposed contracts.
  • Monitors contract performance and compliance to ensure contracts are performing at expected levels by auditing financials and negotiating with payors for money due if appropriate.
  • Reviews and negotiates language in the contracting negotiation processes.
  • Develops, produces, and maintains data sets required for contract analysis.
  • Develops and maintains departmental processes to manage contracts.
  • Resolves contractual disputes with payors by collaborating with various health system entities and all related parties.
  • Responsible for the analysis, development, and testing of contract projection models within Epic essential to negotiation outcomes for the system for both physician and hospital contracts/reimbursement.
  • Builds programing and performs ongoing analysis, which maintains the integrity of financial expectations of managed care contracts within the Epic system.
  • Resolves programming issues related to rate and revenue codes operations through modification to yield maximum revenue potential for both physician and hospital contracts/reimbursement.
  • Ensure through Epic testing that the build is developed and performing the collaboration with the Epic team to put into production and to enhance contract modeling within Epic.
  • Performs other related duties as assigned to fulfill department responsibilities.
  • Decision Making: The carrying out of non-routine procedures under constantly changing conditions, in conformance with general instructions from supervisor.


Working Relationships:

  • Coordinates activities of others (does not supervise).
  • Works with internal customers via telephone or face-to-face interaction.
  • Works with external customers via telephone or face to face interaction.
  • Works with other healthcare professionals and staff.
  • Works frequently with individuals at Director level or above.


Skills:
Required Skills & Experience:

  • Three (3) - four (4) years of related experience.
  • Experience with health plan insurance contracting and reimbursement for providers and facilities.
  • Ability to complete Epic certification and maintain certification in assigned application modules(s).
  • Ability to work independently and within a team across multiple disciplines.
  • Ability to establish and meet work schedules within limited time frames and under tight deadlines.
  • Analytical ability to solve both business and technical problems.
  • Working knowledge of Microsoft Excel, Word, Power BI and Access.
  • Excellent interpersonal, written and oral communication skills.
  • Ability to be detail oriented as required in the analysis and examination of complex information.


Preferred Skills & Experience:

  • Experience with Microsoft Access, data warehouse applications, contract negotiations, contract financial modeling, contract language interpretation and EPIC.


Required Education:

  • Bachelor’s degree in business or related field.


Required Certifications & Licensure:

  • Obtain and maintain Epic certification in assigned application modules(s).