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Data Analytics Jobs in Owasso, OK (NOW HIRING)

Data and Analytics AI Engineer

Tulsa, OK ยท On-site

$104K - $125K/yr

The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and ...

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Data Governance- Manager

Tulsa, OK ยท On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

Senior Data Analyst

Tulsa, OK ยท On-site

$78K - $99K/yr

Senior Data Analyst Job no: 493306 Work type: Professional Location: Tulsa Categories: Technology/Research Pay Range: Commensurate based on education and experience Benefits Eligible: Yes Work ...

Data Architect

Tulsa, OK ยท On-site

$58.25 - $75/hr

... analytics and Big Data. Coordinates with Business Intelligence/Reporting teams to communicate changes on the warehouse Relies on extensive experience and judgment to plan and accomplish goals ...

Data Profiling - 40% a. Utilize profiling tools to analyze source data from QuikTrip systems. i. Base profiling: structure and constraint (primary/foreign key), duplicate, obsolete and invalid record ...

In addition, this role supports the Chief Data & Analytics Officer, coordinating priorities, preparing executive materials, and ensuring alignment across all data and analytics efforts. Team Culture ...

Recruiting for this role ends on 10/1/2026 Position Summary The Clinical Data Analytics (CDA) AMS Lead will serve as the primary functional and operational expert for the Clinical Data Analytics (CDA ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Northmarq is seeking a Data Business Analyst with strong project management skills to support our national platform in our Tulsa, OK office. This role will lead and coordinate data integrity ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary The Opportunity As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in ...

Data Product Owner

Tulsa, OK ยท On-site

$110 - $150/hr

The role will also work closely with Data & Analytics and IT teams to translate business needs into requirements, delivery plans, adoption strategies, and sustainable solutions. This position will be ...

New

This role will partner with leaders to influence priorities, build analytics capabilities, improve decision-making, accelerate value creation, and support continued data maturity. As a trusted ...

Data Engineer II

Tulsa, OK ยท On-site

$120/hr

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 Architect

Tulsa, OK ยท On-site

$58.25 - $75/hr

... analytics and Big Data. Coordinates with Business Intelligence/Reporting teams to communicate changes on the warehouse Relies on extensive experience and judgment to plan and accomplish goals ...

Senior Data Engineer

Tulsa, OK ยท On-site +1

$96K - $131K/yr

Through proprietary data analysis, SmartLight identifies and mitigates wasteful healthcare spending without disrupting employee benefits or requiring behavior changes.

Showing results 21-40

Data Analytics information

See Owasso, OK salary details

$20

$46

$80

How much do data analytics jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data analytics in Owasso, OK is $46.47, according to ZipRecruiter salary data. Most workers in this role earn between $37.36 and $52.64 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Owasso, OK?

The most popular types of Data Analytics jobs in Owasso, OK are:

What cities near Owasso, OK are hiring for Data Analytics jobs?

Cities near Owasso, OK with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Owasso, OK as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $96,658 per year, or $46.5 per hour.

Data and Analytics AI Engineer

Aaon Coil Products Inc.

Tulsa, OK โ€ข On-site

$110 - $170/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

## Data and Analytics AI EngineerApplylocations: Tulsa, OKtime type: Full timeposted on: Posted Yesterdaytime left to apply: End Date: August 29, 2026 (29 days left to apply)job requisition id: JR103023**Job Description:**The Data and Analytics AI Engineer is responsible for designing, building, and supporting enterprise data, analytics, automation, and artificial intelligence solutions that enable business growth and operational excellence. This role serves as the technical bridge between business requirements and modern data platforms, delivering scalable data pipelines, database and reporting solutions, enterprise application integrations, and intelligent automation capabilities. The individual will work closely with business stakeholders, analysts, and application teams to develop integrated solutions leveraging SQL Server, cloud technologies, data engineering best practices, and modern analytics and AI platforms. The ideal candidate combines deep expertise in databases, integration, and business intelligence with a strong understanding of data modeling, ETL processes, reporting, and data governance.**Essential Job Duties and Responsibilities:**Data Engineering & Integration* Design, develop, and maintain enterprise data pipelines, data models, and integrations across ERP, CRM, HR, finance, and manufacturing systems.* Build and optimize ETL/ELT processes for efficient data ingestion, transformation, and storage.* Develop, monitor, and support a portfolio of integrations between internal systems and external providers.* Lead data migration and consolidation efforts to modernize or retire legacy applications.Database Architecture & Administration* Architect, administer, and optimize SQL Server and other relational database environments supporting enterprise applications.* Ensure database performance, reliability, security, and availability across platforms.* Support audit and compliance activities, including evidence gathering and controls documentation (e.g., SOX).Analytics & Business Intelligence* Develop enterprise reporting and dashboards using Power BI, SSRS, and related tools.* Partner with business units to define KPIs, gather requirements, and translate them into technical specifications.* Build self-service BI capabilities and optimize datasets, semantic models, and reporting performance.AI & Intelligent Automation* Identify opportunities to eliminate manual processes through automation using Power Automate and related technologies.* Support development and deployment of AI, machine learning, and generative AI solutions as the enterprise platform matures.* Evaluate emerging AI and automation technologies and recommend adoption opportunities.Platform Engineering & Operations* Support the Azure Data Platform, Microsoft Fabric, and related cloud data services.* Implement security, identity and access management, and compliance requirements.* Develop technical documentation, data lineage, and operational runbooks.Collaboration & Leadership* Collaborate with business leaders to understand strategic objectives and translate them into technical solutions.* Mentor analysts and junior engineers and participate in architecture and governance reviews.**Education and Experience Requirements:*** Bachelor's degree in Computer Science, Mathematics, Information Systems, Data Science, or related field, or relevant experience.* 10+ years of experience in data development, database administration, business intelligence, or enterprise integration roles.* Expert-level proficiency in SQL Server and T-SQL; experience with Oracle or other relational database platforms.* Proven experience developing and supporting large portfolios of enterprise application integrations, both internal and with third-party providers.* Hands-on experience with BI and reporting platforms (e.g., SSRS, Power BI, Tableau).* Experience supporting ERP and CRM platforms (e.g., Microsoft Dynamics), including migration and consolidation projects.* Proficiency in one or more programming languages (e.g., C#, Python).* Experience with data governance, security, and audit compliance practices.* Working knowledge of cloud platforms (Azure preferred) and modern data architectures.* Strong analytical thinking, problem-solving, and communication skills.**Preferred Skills:*** Experience with Microsoft Fabric, Azure Data Factory, or data lake/lakehouse architectures.* Experience with Python and Spark/PySpark for large-scale data processing.* Exposure to generative AI technologies (e.g., Azure OpenAI, Copilot Studio, retrieval-augmented generation, AI agents).* Experience with Power Platform and Power Automate workflow development.* Experience with CI/CD pipelines and version control tools (e.g., Git, Azure DevOps).* Microsoft Azure, Fabric, or Power Platform certifications.* Experience supporting manufacturing or industrial operations.* Experience leading, managing, or mentoring technical teams.**Knowledge, Skills, and Abilities:*** Attention to detail and data accuracy* Systems thinking and technical leadership* Effective communication with technical and non-technical stakeholders* Business partnership and customer focus* Time management and project coordination* Continuous learning and adaptability**Work Environment:**While performing the duties of this job the employee will work in a climate-controlled office environment. May occasionally meet in the manufacturing facility and be exposed to:* Humidity, loud noises, dirt* Varying temperatures* Sheet Metal* Forklift traffic**Physical Demands:*** Lift up to 10 lbs.* Occasional climbing* Occasional stooping* Sitting for prolonged periods**Disclaimer:**Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. This job description is not an exhaustive list of all functions that the employee may be required to perform, and the employee may be required to perform additional functions. The company reserves the right to revise this job description at any time. The employee must be able to perform the essential functions of the position satisfactorily. If requested, reasonable accommodation may be made to enable employees with disabilities to perform the essential functions of the job, absent undue hardship. #J-18808-Ljbffr