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Afternoon Data Analyst R Programming Jobs in Tulsa, OK

Data Governance- Manager

Tulsa, OK · On-site

$99K - $232K/yr

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

... data reliability, and support new facility commissioning efforts. Success in this role requires close collaboration with field operations, production engineering, IT infrastructure teams, and other ...

... data reliability, and support new facility commissioning efforts. Success in this role requires close collaboration with field operations, production engineering, IT infrastructure teams, and other ...

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.

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.

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.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Senior Data Engineer

Tulsa, OK · On-site +1

$96K - $131K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... About SmartLight Analytics SmartLight Analytics was formed by a group of industry insiders who ...

... data reliability, and support new facility commissioning efforts. Success in this role requires close collaboration with field operations, production engineering, IT infrastructure teams, and other ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

If you're passionate about data engineering, governance, and enabling analytics across cloud and on-prem environments, we'd like to connect. Interested? Apply or reach out directly: doug.halve ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Senior Data Engineer

Tulsa, OK · Remote

$108K - $147K/yr

We are seeking a Senior Data Engineer with deep expertise in data warehousing, ETL pipeline ... About SmartLight AnalyticsSmartLight Analytics was formed by a group of industry insiders who ...

Data Engineer - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Data Engineer II

Tulsa, OK · On-site

$104K - $125K/yr

... programming data solutions. • Familiar with all aspects of systems analysis, design, and installation procedures in a business environment. • Proficient in one or more of QuikTrip's data ...

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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 Jul 14, 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.
Business Intelligence - Health Data Analyst 133-2012

Business Intelligence - Health Data Analyst 133-2012

CommunityCare

Tulsa, OK • On-site

Full-time

Posted 6 days ago


Job description

JOB SUMMARY:
The Analyst provides analytical support for all departments, including analysis, pricing, capitation, network and provider specific reporting. Analytical support includes creating and executing beginner and intermediate level reports and programs and programming modifications to previously written reports. The Analyst will collaborate with key stakeholders and determine the needed result including any special specifications. The Analyst will work with several databases to pull and integrate data, statistical analysis and data modeling.
KEY RESPONSIBILITIES:
  • Execute, write, test, validate, analyze and distribute reports. Determine appropriate approach and tools needed to complete project in an efficient and timely manner. Collaborate with key stakeholders and senior analysts.
  • Determine, write and present report results with key findings and trends to appropriate stakeholders.
  • Complete multiple concurrent ad-hoc analyses, provide corresponding reports based on customer specifications, determine and communicate analytical conclusions and recommendations.
  • Develop beginner to intermediate level reports and ad-hoc analysis based on specifications outlined by department management. Automate such reports and ensure that they are performed and delivered on schedule.
  • Perform tasks related to maintenance of Departmental Data Warehouse and its documentation.
  • Perform other job-related duties as assigned.

QUALIFICATIONS:
  • Ability to apply advanced mathematical and statistical techniques and principles into the analysis of health-related data.
  • Possess strong oral and written communication skills with the ability to communicate results in a clear and concise manner.
  • Ability to converse and write fluently in English.
  • Successful completion of Health Care Sanctions background check.
  • Proficient in Microsoft Office applications.

EDUCATION/EXPERIENCE:
  • Bachelor's degree Required. Mathematics, Statistics, Economics, Actuarial Science or other quantitative discipline preferred.
  • Demonstrated use of analytical software. SAS or SQL preferred.
  • Experience in Power BI, Tableau or similar software preferred.1-2 years of related experience preferred.

CommunityCare is an equal opportunity at will employer and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation or national origin