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Data Analyst Data Science Jobs in Oklahoma (NOW HIRING)

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Cross-Sell Data Analyst, Dynamics 365

Tulsa, OK

$80K - $110K/yr

Cross-Sell Data Analyst The cross-sell data analyst is responsible for identifying cross-sell ... Bachelor's degree with a major in Data Science, Statistics, Business, Finance, Economics

Teleflora

Data Scientist, Modeler

Oklahoma City, OK · On-site +1

Establish best practices for prompt design, validation, and governance Qualifications * 5+ years in Data Science or Advanced Analytics (preferably eCommerce or consumer business) * Experience ...

MidFirst Bank

Data Steward Manager

Oklahoma City, OK · On-site

Required : • Bachelor's degree - Information Systems, Data Analytics, Computer Science, Business, Accounting, Finance, Economics • 8+ years of experience working with data-intensive business ...

Deloitte

Lead AI and Data Science Engineer II

Tulsa, OK

$93K - $123K/yr

Analytics & Data Science * Design and structure analytical work, including research design, project planning, and use case development, and apply advanced statistical and machine learning methods to ...

Groendyke Transport

Data Platform Analyst

Enid, OK · On-site

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making by creating dependable datasets, metrics, and pipelines. This role works closely with teams across ...

Staffingine LLC

Business Data Scientist

Tulsa, OK · On-site

Job Title: Business Data Scientist Job Location: Tulsa, OK Job Type: Full Time * Develops ... Creates scalable, efficient, and automated processes for large scale data analyses, model ...

Oneok, Inc.

AI Analyst

Tulsa, OK · On-site

Data ingestion and curation: Load operations data into analytical systems, identify and address ... Education * Bachelor's Degree Management Information Systems, Computer Sciences, Accounting ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Oklahoma

Data Analyst Data Science information

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Oklahoma? For Data Analyst Data Science jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Oklahoma look for? The top searched job categories for Data Analyst Data Science jobs in Oklahoma are:
What cities in Oklahoma are hiring for Data Analyst Data Science jobs? Cities in Oklahoma with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you
Infographic showing various Data Analyst Data Science job openings in Oklahoma as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Analyst - Reservoir Engineering

Continental Resources

Oklahoma City, OK • On-site

$79K - $100K/yr

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Continental Resources is a company focused on resource development in the oil and gas industry, and they are seeking a Senior Data Analyst to streamline processes and provide data-driven insights. The role involves collaborating with various professionals to gather data requirements, troubleshoot data issues, and mentor junior staff while utilizing advanced data analytics tools.
Responsibilities:
• Collaborates with varying levels of reservoir engineers, petrotechnical professionals, financial professionals, and management to effectively gather data/reporting requirements and build complex datasets, visualizations, analytical tools, and reports.
• Discovers and troubleshoots data issues across sources and drives issues to resolution.
• Mentors and trains junior staff; creates training content and executes across the team, department, and company.
• Utilizes SQL to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems, and create data tables and views in Databricks.
• Owns, maintains and enhances business-critical Spotfire and Power BI analyses; creates new projects from scratch using data from a variety of sources across the enterprise.
• Leverages automation and AI tools to streamline processes, automate manual workflows, and create scalable, enterprise solutions.
• Performs data capture processes as necessary to support analytics efforts.
• Other duties as assigned.
Qualifications:
Required:
• High School Diploma or GED.
• Minimum of eight (8) years of experience within the oil and gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or related role.
• Advanced experience in Aries or other Economic Evaluation software with thorough understanding of economic engine, data streams, data models.
• Advanced skills within SQL with the ability to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems and create data tables and views within CLR’s data warehouse.
• Advanced skills in Spotfire with the ability to use, deconstruct, and enhance existing analyses and create new projects leveraging multiple data sources and data functions.
• An acceptable pre-employment background and drug test.
Preferred:
• Bachelor’s Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting or related degree.
• Intermediate skills developing automated workflows using UiPath, Grooper or Alteryx
• Advanced coding skills in R or Python
Company:
Continental Resources is focused on the exploration and production of onshore oil prone plays and is a Top 10 independent oil producer. Founded in 1967, the company is headquartered in Oklahoma City, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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