Data Analytics Manager Jobs in Oklahoma
Data Analytics Manager jobs in Oklahoma concentrate in energy, healthcare, and financial services, with the state's growing technology corridor adding consistent demand for leaders who can translate data into business decisions. Oklahoma City and Tulsa account for most openings, where established employers like ONEOK, Integris Health, and American Fidelity build and scale analytics teams. Demand is strongest for managers with experience in business intelligence, predictive modeling, and cross-functional data governance. See the openings below and apply to the ones that match your experience.
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Koch Engineered Solutions (KES) is currently looking for a Master Data Management (MDM) Analyst to join our global Information Technology (IT) capability.
As an MDM Analyst, you will help design and scale enterprise master data capabilities that improve how KES uses trusted data across business domains. This role collaborates with Data Architects, Data Leads, Data Analyst, and data owners to instill the appropriate guardrails and frameworks as we mature our single source of truth (SSOT) data governance across business domains.
This role will require the ability to balance technical rigor with business acumen-connecting data modeling decisions to business outcomes, product usability, governance, and long-term scalability. The most impactful work in this role happens at the intersection of data architecture craft, domain understanding, and practical delivery of reusable data products.
This is an opportunity for a proactive, contribution-motivated individual who wants to build durable data foundations, reusable patterns, and enterprise standards that create long-term value.
The MDM Analyst is an in-office role in Wichita, KS or Tulsa, OK. Visa sponsorship is not available.
Our Team
The IT capability is a vital component of the KES strategy to improve business performance through the application of technology and to profitably transform our business. Our team operates with a startup mentality-working as an integrated group with the Engineering, Operations, Commercial, and Finance teams to design, build, and scale innovative solutions that transform KES work processes.
What You Will Do
- Collaborate with Data Architects and Analytics Leaders to define, align, and promote data modeling standards, naming conventions, documentation practices, and reusable design patterns across the KES IT Data & Analytics team.
- Partner with Data Engineers, Analytics Engineers, BI Developers, Product Teams, and business stakeholders to ensure data products are usable, scalable, and aligned to business priorities.
- Partner with stakeholders and product owners to align on shared business definitions, domain boundaries, metric intent, and data quality standards that support trusted golden records.
- Mature the KES data foundation by identifying gaps in data coverage, quality, lineage, and structure, then prioritizing improvements through an iterative, product-minded approach.
- Support AI-ready data architecture by designing well-governed, well-documented data layers that enable model training, feature engineering, semantic understanding, and AI-assisted insights.
Who You Are (Basic Qualifications)
- Experience working with or implementing a MDM platform such as Reltio, Informatica, or TIBCO
- Experience creating security logic based on business rules
- Experience creating and supporting matches, merge, and survivorship validation
- Demonstrated experience partnering with customers to understand business and operating models, then translating them into platform configuration
- Experience partnering with finance, commercial, and cross-functional teams to resolve discrepancies and improve data accuracy
- Experience communicating data architecture and technology concepts to both technical and business audiences
What Will Put You Ahead
- Experience driving adoption, UAT, and validation
- Experience in data quality and observability practices
- Experience with data transformation tools for developing and managing data transformation pipelines.
- Demonstrated experience applying data modeling standards, documentation practices, and reusable design patterns in a team or enterprise environment.
- Experience with graph database technologies, relationship-oriented data modeling patterns, and data governance workflows.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
As a Koch company, Koch Engineered Solutions (KES) is a dynamic network of businesses that work together to create an ecosystem of domain expertise to increase operational efficiency, improve safety, reduce waste, and reduce emissions.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquà , or tu ).
Koch Engineered Solutions (KES) is currently looking for a Master Data Management (MDM) Analyst to join our global Information Technology (IT) capability.
As an MDM Analyst, you will help design and scale enterprise master data capabilities that improve how KES uses trusted data across business domains. This role collaborates with Data Architects, Data Leads, Data Analyst, and data owners to instill the appropriate guardrails and frameworks as we mature our single source of truth (SSOT) data governance across business domains.
This role will require the ability to balance technical rigor with business acumen-connecting data modeling decisions to business outcomes, product usability, governance, and long-term scalability. The most impactful work in this role happens at the intersection of data architecture craft, domain understanding, and practical delivery of reusable data products.
This is an opportunity for a proactive, contribution-motivated individual who wants to build durable data foundations, reusable patterns, and enterprise standards that create long-term value.
The MDM Analyst is an in-office role in Wichita, KS or Tulsa, OK. Visa sponsorship is not available.
Our Team
The IT capability is a vital component of the KES strategy to improve business performance through the application of technology and to profitably transform our business. Our team operates with a startup mentality-working as an integrated group with the Engineering, Operations, Commercial, and Finance teams to design, build, and scale innovative solutions that transform KES work processes.
What You Will Do
- Collaborate with Data Architects and Analytics Leaders to define, align, and promote data modeling standards, naming conventions, documentation practices, and reusable design patterns across the KES IT Data & Analytics team.
- Partner with Data Engineers, Analytics Engineers, BI Developers, Product Teams, and business stakeholders to ensure data products are usable, scalable, and aligned to business priorities.
- Partner with stakeholders and product owners to align on shared business definitions, domain boundaries, metric intent, and data quality standards that support trusted golden records.
- Mature the KES data foundation by identifying gaps in data coverage, quality, lineage, and structure, then prioritizing improvements through an iterative, product-minded approach.
- Support AI-ready data architecture by designing well-governed, well-documented data layers that enable model training, feature engineering, semantic understanding, and AI-assisted insights.
Who You Are (Basic Qualifications)
- Experience working with or implementing a MDM platform such as Reltio, Informatica, or TIBCO
- Experience creating security logic based on business rules
- Experience creating and supporting matches, merge, and survivorship validation
- Demonstrated experience partnering with customers to understand business and operating models, then translating them into platform configuration
- Experience partnering with finance, commercial, and cross-functional teams to resolve discrepancies and improve data accuracy
- Experience communicating data architecture and technology concepts to both technical and business audiences
What Will Put You Ahead
- Experience driving adoption, UAT, and validation
- Experience in data quality and observability practices
- Experience with data transformation tools for developing and managing data transformation pipelines.
- Demonstrated experience applying data modeling standards, documentation practices, and reusable design patterns in a team or enterprise environment.
- Experience with graph database technologies, relationship-oriented data modeling patterns, and data governance workflows.
At Koch companies, we are entrepreneurs. This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions. Any compensation range provided for a role is an estimate determined by available market data. The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location. If you have questions, please speak to your recruiter about the flexibility and detail of our compensation philosophy.
Hiring Philosophy
All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .
Who We Are
As a Koch company, Koch Engineered Solutions (KES) is a dynamic network of businesses that work together to create an ecosystem of domain expertise to increase operational efficiency, improve safety, reduce waste, and reduce emissions.
At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.
Our Benefits
Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.
Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.
Equal Opportunities
Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here , aquà , or tu ).
See All 30 Data Analytics Manager Jobs in Oklahoma
Find roles in Oklahoma that match your experience and apply in just a few clicks.
Find Data Analytics Manager JobsData Analytics Manager Jobs by City in Oklahoma
Where Oklahoma roles are concentrated, by current openings.
Data Analytics Manager Job Market in Oklahoma
A snapshot from current Oklahoma openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Healthcare & Medical Services
What Oklahoma Employers Look For
The qualifications that appear most often in data analytics manager jobs across Oklahoma.
- Bachelor's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of experience in analytics with at least two years in a leadership role
- Proficiency in SQL, Python, or R alongside enterprise BI tools such as Tableau or Power BI
- Demonstrated ability to manage analytics teams and translate findings for non-technical stakeholders
- Experience building data pipelines and working within cloud platforms such as AWS, Azure, or GCP
- Strong background in one of Oklahoma's core sectors: energy operations, healthcare systems, or financial services
Data Analytics Manager Jobs in Oklahoma: Frequently Asked Questions
How do you become a data analytics manager in Oklahoma?
Most data analytics manager roles in Oklahoma require a bachelor's degree in a quantitative field such as statistics, computer science, or information systems, though many employers prefer a master's degree for senior positions. There is no state-issued license required for this role in Oklahoma. Candidates typically advance by building several years of hands-on analytics experience, then demonstrating team leadership and business impact within Oklahoma's energy, healthcare, or financial services industries before moving into management.
How much do data analytics managers make in Oklahoma?
Data analytics managers in Oklahoma earn a median of about $86,310 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $58,690 for the lowest 10% to over $145,580 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data analytics managers in Oklahoma?
Oklahoma data analytics manager roles are posted by CommunityCare, BOK Financial, and Tetra Tech and others right now, based on current listings on Migrate Mate as of November 2026. Oklahoma's concentration of energy corporations and regional healthcare systems means demand for analytics leadership remains steady even outside peak hiring cycles.
Which Oklahoma cities have the most data analytics manager jobs?
Tulsa, Oklahoma City, and Norman hold the most data analytics manager openings in Oklahoma. Oklahoma City dominates because of its dense concentration of healthcare networks, insurance carriers, and energy company headquarters, while Tulsa draws demand from midstream energy firms and regional financial institutions that have built substantial data operations in the city.
Are there remote data analytics manager jobs in Oklahoma?
Yes, and more than most fields. About 31% of data analytics manager openings tied to Oklahoma are remote or hybrid as of November 2026, reflecting how well the role's core responsibilities translate to distributed work. Strategic planning, dashboard oversight, and cross-team reporting are the functions most commonly performed fully remote, while roles requiring close collaboration with on-site operational teams tend to follow a hybrid schedule.
How can I get hired as a data analytics manager in Oklahoma with little or no experience?
The most realistic entry path is moving into an analyst or data specialist role first, then building toward management over time. Large Oklahoma employers like ONEOK, Integris Health, and American Fidelity regularly hire entry-level analysts and data engineers, and internal promotion into team lead or manager roles is common at these organizations. Lateral moves from roles such as business analyst, reporting analyst, or database administrator are also effective. Earning a recognized certification in a BI platform or cloud environment strengthens a candidacy significantly at the earlier stages.
Where can I find and apply to data analytics manager jobs in Oklahoma?
You can find and apply to data analytics manager jobs in Oklahoma on Migrate Mate, which lists current openings from Oklahoma employers. Search the listings to find roles that fit your background and apply directly to the ones that match your experience and location preferences.
See All 30 Data Analytics Manager Jobs in Oklahoma
Find roles in Oklahoma that match your experience and apply in just a few clicks.
Find Data Analytics Manager Jobs