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Data Analyst R Programming Jobs in Oklahoma (NOW HIRING)

Life.Church

Senior Data Scientist

Edmond, OK · On-site

The Senior Data Scientist will work closely with product managers, engineers, and other ... Proficiency in Python or R for data analysis, modeling, and machine learning. * Familiarity with ...

Life.Church

Senior Data Scientist

Edmond, OK

The Senior Data Scientist will work closely with product managers, engineers, and other ... Proficiency in Python or R for data analysis, modeling, and machine learning. * Familiarity with ...

YouVersion

Senior Data Scientist

Edmond, OK · On-site

... data engineers to build, optimize, and maintain ETL pipelines in BigQuery, ensuring data ... Python or R for data analysis, modeling, and machine learning • Familiarity with data ...

Pwc

Data Strategy & Governance -Director

Tulsa, OK · On-site

$155K - $410K/yr

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

SmartLight Analytics

Senior Data Engineer

Tulsa, OK · On-site +1

$96.80K - $131.50K/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

Oklahoma City, 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 - 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 ...

MIRATECH Corporation

Business Analyst II

Tulsa, OK · On-site

Operations, Engineering, Field Service, Proj. Management, Finance Primary Responsibility: We are seeking an experienced and detail-oriented Business Analyst to support and evolve our data, reporting ...

MIRATECH Corporation

Business Analyst II

Tulsa, OK · On-site

Operations, Engineering, Field Service, Proj. Management, Finance Primary Responsibility: We are seeking an experienced and detail-oriented Business Analyst to support and evolve our data, reporting ...

MIRATECH Corporation

Business Analyst II

Tulsa, OK · On-site

Operations, Engineering, Field Service, Proj. Management, Finance Primary Responsibility: We are seeking an experienced and detail-oriented Business Analyst to support and evolve our data, reporting ...

Pwc

Data Engineer - Manager

Tulsa, OK · On-site

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 ...

Pwc

Data Engineer - Manager

Oklahoma City, 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 ...

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Data Analyst R Programming information

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$31.4K

$76.3K

$125.6K

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

As of May 30, 2026, the average yearly pay for data analyst r programming in Oklahoma is $76,304.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,600.00 per year, depending on experience, location, and employer.

What is a Data Analyst R Programming job?

A Data Analyst specializing in R Programming uses the R language to analyze, visualize, and interpret data to support business decisions. This role involves cleaning and transforming data, performing statistical analysis, and creating data visualizations or reports. Analysts in this field often work with databases, machine learning models, and automation tasks using R packages like dplyr, ggplot2, and tidyr. They typically collaborate with stakeholders to extract insights and communicate findings in a meaningful way.

What are the key skills and qualifications needed to thrive in the Data Analyst R Programming position, and why are they important?

To excel as a Data Analyst R Programming, you need strong analytical abilities, proficiency in statistical analysis, and hands-on experience with R, often supported by a degree in statistics, mathematics, or a related field. Familiarity with R libraries (such as dplyr, ggplot2), databases (like SQL), and data visualization tools, as well as potential certifications in data analysis or R programming, are highly beneficial. Exceptional problem-solving skills, attention to detail, and clear communication will set you apart when interpreting data and sharing insights with stakeholders. These capabilities are essential for turning raw data into actionable business insights, ensuring data-driven decisions, and fostering collaborative project success.

What are typical projects or daily tasks for a Data Analyst specializing in R Programming?

As a Data Analyst with expertise in R Programming, your typical responsibilities include cleaning and preparing large datasets, conducting statistical analyses, and creating visualizations to support business decisions. You’ll frequently use R to automate data processing workflows, generate reports, and explore insights, collaborating closely with data scientists, business analysts, and department managers. Projects may range from market trend analysis and customer segmentation to developing predictive models for operational improvements. This role often involves both independent analytical work and active participation in cross-functional meetings to present findings and recommendations.
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Data Analyst R Programming jobs near you
Senior Data Scientist

Senior Data Scientist

Life.Church

Edmond, OK • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

The Senior Data Scientist is responsible for developing advanced analytical and machine-learning solutions to optimize user engagement and retention in our mobile applications. The Senior Data Scientist will work closely with product managers, engineers, and other stakeholders to drive data-driven decision-making and deliver insights that enhance the user experience. The Senior Data Scientists provides data solutions that equip teams and ministries to further Life.Church's mission and to reach people for Christ.
YouVersion was created by the local church in 2007 and remains a ministry of Life.Church today. At Life.Church, our mission is to lead people to become fully devoted followers of Christ. Our team is committed to reaching people worldwide through innovative technology. And YouVersion is one of the ways we get to do that. Life.Church is a multi-site Christian church meeting in the United States and globally at Life.Church Online.
We wholeheartedly believe a daily rhythm of seeking intimacy with God has the power to transform lives. That's why YouVersion creates biblically-based experiences that encourage and challenge people to seek God. We hope everyone in our community is on an active journey to become who God made them to be, abiding in Him, and drawing closer every day.
What You'll Do
  • Analyze large-scale datasets in BigQuery to extract actionable insights on user behavior, engagement, and app performance.
  • Develop metrics and KPIs to track user acquisition, retention, and in-app behaviors across multiple apps.
  • Conduct funnel analysis, cohort analysis, and segmentation studies to understand user journeys and identify growth opportunities.
  • Design, build, and deploy predictive models to enhance app personalization, recommend content, and improve ad targeting.
  • Develop models for churn prediction, lifetime value estimation, and user segmentation to inform product and marketing strategies.
  • Leverage BigQuery ML and other cloud-based machine learning tools to streamline the modeling process within the Google ecosystem.
  • Design and analyze A/B tests to evaluate the impact of new features, UX changes, and marketing strategies on user engagement and retention.
  • Implement statistical methods to assess test results, including sample size calculation, significance testing, and post-test analysis.
  • Document and share best practices for experimentation with cross-functional teams.
  • Work closely with data engineers to build, optimize, and maintain ETL pipelines in BigQuery, ensuring data availability and accuracy.
  • Define and implement data quality checks and standardization procedures for mobile app data.
  • Advocate for data infrastructure improvements and guide the design of efficient data pipelines.
  • Develop interactive dashboards and visualizations in tools such as Tableau, or Looker to present insights to product, marketing, and engineering teams.
  • Translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.
  • Present findings regularly to senior leadership, providing strategic guidance based on data-driven insights.
  • Mentor junior data scientists and analysts, providing guidance on best practices in data science, mobile app analytics, and BigQuery usage.
  • Lead cross-functional data projects, ensuring alignment on goals, methodology, and timelines.
  • Stay updated with industry trends and new technologies, sharing relevant knowledge with the team and encouraging innovation.

Skills Needed to Succeed
  • Ability to self-motivate, make independent decisions, and solve problems with innovation.
  • Effective at multi-tasking and time management to meet strict deadlines while remaining flexible and open to change.
  • Excellent verbal, written, and interpersonal communication skills to clearly explain complicated processes and foster partnerships.
  • Effective at process and organizational management to coordinate, structure, and provide vision to projects.
  • Strong leadership skills and understanding of developing and guiding others.
  • A strong background in data science, experience with mobile app analytics, and expertise in leveraging Google BigQuery for large-scale data processing and analysis.
  • Proficiency in Python or R for data analysis, modeling, and machine learning.
  • Familiarity with data visualization tools like Google Data Studio, Tableau, or Looker to create dashboards and reports.
  • Strong understanding of mobile app analytics, including metrics for user engagement, retention, and funnel analysis preferred.
  • Experience with app tracking frameworks and attribution tools (e.g., Firebase, Adjust, AppsFlyer) preferred.
  • Knowledge of statistical techniques for experiment design and analysis preferred (e.g., causal inference, propensity score matching).
  • Familiarity with app store optimization (ASO) and mobile marketing analytics preferred.
  • Master's degree or Ph.D. in Data Science, Statistics, Computer Science, Applied Mathematics, or a related field.
  • 5+ years of experience in data science or analytics, with at least 2 years in the mobile app industry.
  • Advanced proficiency in Google BigQuery, including SQL query optimization, data processing, and BigQuery ML for machine learning.
  • Experience with machine learning algorithms for classification, regression, clustering, and time series analysis.

Benefits We Offer
  • Paid parental leave, including maternity, paternity, and adoption leave.
  • Generous employer-paid leave for the use of vacation, sick time, and other qualifying reasons.
  • Innovative and comprehensive Medical, Dental, and Vision insurance that provides team members with useful resources and savings to navigate their holistic health.
  • Life insurance policy provided for all staff members at 2x annual salary at no cost. Additional life insurance coverage is available to purchase.
  • Short-Term and Long-Term disability is covered at 100% for full-time qualified staff members.
  • Comprehensive wellness and mental health benefits allow staff to proactively invest in their physical and emotional health.
  • Generous 401(k) retirement plan allowing a team member to have up to 12.5% (including employee contribution, employer match, and employer discretionary contribution) contributed into their account in their first year. It doesn't stop there-the more years on staff, the greater the investment!
  • $160 annually in development dollars for team members to invest in their professional growth.
  • Casual dress and work environment.
  • And much more!

Our Beliefs, Culture, and Commitment to Diversity
At Life.Church, every staff member, and intern is a minister and is expected to engage in the church's ministry fully. We consider ministry readiness and an individual's capacity to represent Life.Church's beliefs as a minister during the selection process for all staff and intern positions. An essential function within every position held by a staff member or intern at Life.Church is to uphold and represent the beliefs of Life.Church. Learn more about what we believe at Life.Church.
While we unite around our mission, we know unity doesn't mean uniformity. Our calling is too great, and our mission is too important not to be intentional about strengthening our team through diversity. We know that diverse perspectives in race, ethnicity, background, age, and gender are essential to reaching the world for Christ. To learn more about how we strengthen our team through diversity, visit our careers page.
All data collected in our application process, from resume collection to application questions, is used for recruitment purposes only.

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