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Afternoon Data Analyst R Programming Jobs in Tulsa, OK

Addison Group

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.

SmartLight Analytics

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 ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

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 ...

Pwc

Data Engineer - Manager

Tulsa, OK

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 ...

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/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 ...

Pwc

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 ...

Tulsa Community Foundation

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

The team's work spans Data & Systems, CRM Platform Solutions, and Analytics-building the data ... This role requires strong hands-on experience in Python-based data engineering, cloud data ...

InTulsa Initiative LLC

Data Engineer

Tulsa, OK

$104K - $125K/yr

The team's work spans Data & Systems, CRM Platform Solutions, and Analytics-building the data ... This role requires strong hands-on experience in Python-based data engineering, cloud data ...

Pwc

Data Engineer - Manager

Tulsa, OK

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As a Data Engineer - Manager, you will play a pivotal role in transforming raw data ...

Pwc

AI & GenAI Data Scientist - Manager

Tulsa, OK · On-site

$99K - $232K/yr

... analysis and integration to support AI-driven initiatives - Utilizing programming languages such as Python and Java to enhance AI model deployment - Overseeing the creation and maintenance of data ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

Required experience : 3-5 years' experience in programming data solutions. Familiar with all aspects of systems analysis, design, and installation procedures in a business environment. Desired ...

QuikTrip

Data Engineer II

Tulsa, OK · On-site

$98K - $118K/yr

Required experience : 3-5 years' experience in programming data solutions. Familiar with all aspects of systems analysis, design, and installation procedures in a business environment. Desired ...

CCT

AWS Cloud Data Engineer

Tulsa, OK

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data ... Execute static code analysis. * Allow or prevent commits or PR merges based on predefined quality ...

CCT

AWS Cloud Data Engineer

Tulsa, OK

$104K - $125K/yr

Summary The AWS Data Engineer will be responsible for designing, implementing, and maintaining data ... Execute static code analysis. * Allow or prevent commits or PR merges based on predefined quality ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in Tulsa, OK

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:
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Afternoon Data Analyst R Programming jobs near you
Data Engineer II

Data Engineer II

Addison Group

Tulsa, OK • On-site

$120/hr

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago

Job description

Title: Data Engineer II/III
Location: Tulsa, Oklahoma
Salary: $120-135k
Position is not eligible for sponsorship
Benefits:
Health insurance
Disability insurance
Life insurance
Retirement plans (like a 401(k))
Paid time off (PTO) including vacation and sick days
Summary:
The Data Engineer is responsible for designing, developing, testing, implementing, supporting, and maintaining enterprise data pipelines, data warehouses, data marts, and business intelligence solutions. This role supports data-driven decision-making by delivering reliable, scalable, and high-quality data assets across the organization.
The ideal candidate will have experience building and supporting data integration solutions, developing data models, and collaborating with business and technical teams to deliver actionable insights.
Key Responsibilities
Data Engineering & Development (50%)
  • Design, develop, enhance, and maintain data pipelines following established software development and data governance practices.
  • Connect to and analyze data from a variety of source systems to assess data quality, structure, and business value.
  • Develop automated processes for extracting, cleansing, transforming, and loading data into enterprise data platforms.
  • Build and maintain master data solutions that consolidate information from multiple sources into trusted, centralized datasets.
  • Create automated data quality monitoring, validation, and alerting processes.
  • Develop and publish data models and datasets for reporting, analytics, and business intelligence initiatives.
  • Utilize ETL tools, SQL, data modeling platforms, business intelligence technologies, and programming languages to support development efforts.
  • Adhere to established development standards, architecture guidelines, and best practices.
  • Collaborate with technical teams to support application integrations, data architecture initiatives, and enterprise reporting strategies.
  • Participate in Agile development processes and contribute to technical planning, user story refinement, and solution design discussions.
  • Support troubleshooting and root-cause analysis for complex data and system issues.

Technical Support & Operations (35%)
  • Provide support for data platforms, reporting systems, and business intelligence solutions.
  • Investigate and resolve technical issues using strong analytical, problem-solving, and customer service skills.
  • Analyze recurring issues and implement long-term solutions to improve system stability and performance.
  • Maintain accurate documentation of incidents, resolutions, processes, and system configurations.
  • Develop support documentation, user guides, and technical knowledge resources.
  • Gather feedback from stakeholders and recommend enhancements to improve functionality and user experience.
  • Participate in on-call support rotations and assist with critical issue resolution as needed.

Training & Professional Development (10%)
  • Continuously expand technical knowledge through training, self-study, industry research, and professional development opportunities.
  • Incorporate feedback from peers and leadership to improve technical and professional skills.
  • Stay informed on emerging technologies, industry best practices, and evolving data engineering methodologies.
  • Support the development of junior team members through mentoring, knowledge sharing, code reviews, and technical guidance.

Communication & Administration (5%)
  • Communicate effectively with technical and non-technical stakeholders.
  • Provide timely updates regarding project status, risks, and deliverables.
  • Prepare clear and professional technical documentation and business correspondence.
  • Maintain accurate records of project work, support activities, and time tracking.
  • Collaborate effectively within cross-functional teams and contribute to a positive team environment.

Qualifications
Required Education
  • High school diploma or equivalent.
  • Technical coursework or professional training in programming, database technologies, data engineering, or related disciplines.

Preferred Education
  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or a related field.

Required Experience
  • 3-5 years of experience designing, developing, and supporting enterprise data solutions.
  • Experience with systems analysis, solution design, data integration, and implementation within a business environment.

Preferred Experience
  • 5+ years of professional experience in data engineering, data warehousing, business intelligence, or related fields.
  • Experience supporting enterprise-scale data platforms and troubleshooting complex technical environments.

Required Skills
  • Proficiency in SQL and one or more data integration, reporting, or programming technologies.
  • Experience with ETL development, data transformation, and data modeling concepts.
  • Strong analytical and problem-solving skills.
  • Understanding of software development and data management best practices.
  • Excellent communication, organization, and time management skills.
  • Ability to work independently while collaborating effectively across teams.

Preferred Skills
  • Experience with cloud-based data platforms, data warehouses, business intelligence tools, and modern analytics technologies.
  • Familiarity with Agile development methodologies.
  • Knowledge of master data management, data governance, and data quality frameworks.
  • Experience mentoring junior team members and contributing to technical leadership initiatives.
Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Addison Group complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. Reasonable accommodation is available for qualified individuals with disabilities, upon request.

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