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Afternoon Data Analyst R Programming Jobs in Tulsa, OK

CCT

AWS Cloud Data Engineer

Tulsa, OK · On-site +1

$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 ...

Pwc

Data Engineer - Senior Associate

Tulsa, OK

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

The Intersect Group

Data Engineer II

Tulsa, OK · On-site

$99K - $119K/yr

Data Engineer Company Overview Our client is a respected leader in the retail and consumer services ... Analyze and profile data from diverse sources to determine integration requirements and data ...

Bayer

Senior Staff Data Engineer

Tulsa, OK

$96K - $131K/yr

Data Analysis and Synthesis: * Exploratory data analysis, data profiling, data cleaning ... Programming and Build: * Use agreed standards and tools to design, code, test, correct and document ...

SmartLight Analytics

Software QA Analyst II

Tulsa, OK · On-site +1

In this role, you will test deliverables from multiple engineering teams, document results, and ... Write and optimize SQL queries for validating data, troubleshooting issues, and supporting test ...

Kanak Elite Services Inc

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Proficiency in leveraging AI enabled tools, such as Microsoft Copilot, to improve productivity and analysis. A plus will be experience in AWS related to data engineering. Experience required: * 8+ ...

CCT

Data Scientist

Tulsa, OK

The Data Scientist is responsible for developing models across the full lifecycle-from exploratory analysis and feature engineering through production deployment and ongoing monitoring. Essential ...

The OSU/A&M System

Research Scientist GS9392

Tulsa, OK · On-site

... data science, biomedical engineering, or a related field (degree must be conferred on or before agreed upon start date) * Experience with quantitative data analysis (Python and/or R) * Experience ...

CCT

Data Scientist

Tulsa, OK · On-site

The Data Scientist is responsible for developing models across the full lifecycle-from exploratory analysis and feature engineering through production deployment and ongoing monitoring. Essential ...

OakTree Staffing

TIBCO Specialist

Tulsa, OK

Collaborate with data engineers, analysts, and business stakeholders to understand data needs and ... Integrate Python and R capabilities with Spotfire, where necessary. * Troubleshoot and improve ...

Aep

Telecommunication GIS Analyst

Tulsa, OK · On-site

$63K - $79K/yr

Expertise with GPS methods for collection of data. What we are looking for: Telecommunication GIS Analyst SG5 Education / Experience: * Associate degree in GIS, Computer Science, Engineering, or ...

Stem Xpert

Data Architect

Tulsa, OK

$58.25 - $75/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... analytics and Big Data. Coordinates with Business Intelligence/Reporting teams to communicate ...

MIRATECH Corporation

Data Platform Lead

Tulsa, OK

$100K - $120K/yr

Bachelor's degree in Computer Science, Data Science, or a related field, or equivalent combination of education and experience. * 5+ years of experience in data engineering, analytics engineering, or ...

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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.
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Afternoon Data Analyst R Programming jobs near you
AWS Cloud Data Engineer

AWS Cloud Data Engineer

CCT

Tulsa, OK • On-site, Remote

$104K - $125K/yr

Full-time

Posted 19 days ago

Job description

Summary
The AWS Data Engineer will be responsible for designing, implementing, and maintaining data solutions on Amazon Web Services (AWS) to support the organization's data and analytics needs. This role will focus on building scalable, secure, and efficient data pipelines, integrating data across systems, and leveraging AWS services to optimize data storage, processing, and retrieval. The AWS Data Engineer will collaborate with cross-functional teams to deliver robust and reliable data infrastructure
Essential Duties and Responsibilities:
  • Serve as a shared resource across product teams to provide expertise and scalable solutions for data integration, modeling, and analytics across all products.
  • Design and implement scalable data pipelines using AWS services such as AWS Glue, AWS Data Pipeline, and Amazon Kinesis.
  • Create and maintain all Infrastructure-as-Code (IaC) for primary product teams using tools like AWS CloudFormation or CDK.
  • Develop and maintain data storage solutions using Amazon S3, Redshift, RDS, DynamoDB, or other AWS-managed databases.
  • Design and develop code pipelines for our primary product application to:
    • Build application components.
    • Run automated tests created by the QA team.
    • Execute static code analysis.
    • Allow or prevent commits or PR merges based on predefined quality thresholds.
  • Deploy and manage AWS infrastructure resources as needed to support organizational and product-specific goals.
  • Implement monitoring, logging, and centralization of application instrumentation for real-time insights and troubleshooting.
  • Optimize ETL workflows to efficiently manage data across diverse sources and destinations.
  • Set up and manage AWS IAM policies, roles, and security-related configurations to ensure secure access and data protection.
  • Stay updated on AWS innovations and recommend tools or best practices to enhance the organization's data ecosystem.
  • Create comprehensive documentation and provide training for AWS-based data solutions, ensuring knowledge transfer and ease of use.
  • Ensure all data processes and systems adhere to security best practices, aligning with OWASP Top 10, CWE Top 25 guidelines, and CIS AWS Foundations Benchmark.

Further Expectations of the Role:
  • Disciplined in approach to work product completion and timelines.
  • Must have analytical thought processes to make independent decisions.
  • Ability and willingness to work extended hours on a sporadic basis as required.
  • Ability and willingness to work on multiple assignments/projects in a fast-paced environment and meet tight deadlines.
  • Ability and willingness to work independently.
  • Ability to effectively formulate and communicate problems and ideas.
  • Demonstrate and provide outstanding customer and employee relations at all times.

Qualifications:
  • Minimum 5 years of applicable work experience. This level of knowledge is normally acquired through completion of a Bachelor's Degree in a data-centric field (Computer Science, Economics, Information Systems, Data Analytics, etc.) and 3 years' experience with demonstrated track record of successful technical leadership in the execution of large-scale data projects or equivalent combination of education and experience.
  • Strong analytical skills and the ability to translate data into actionable insights.
  • Excellent technical writing and oral communication skills.
  • Experience collaborating cross-functionally with internal and external stakeholders.
  • Travel Expectations: 0%
  • Ability to pass stringent background investigations, required
  • Clean driving record, required

Certified Banana Picker
About CCT
CCT is the creator of Casino Insight™, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability.
Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems-delivering measurable ROI and empowering teams to work smarter at every level.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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