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Data Modeling Jobs in Oklahoma (NOW HIRING)

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

This role develops data pipelines, creates reliable data models, and delivers analytics-ready datasets that enable business intelligence and reporting across the organization. This role also partners ...

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

This role develops data pipelines, creates reliable data models, and delivers analytics-ready datasets that enable business intelligence and reporting across the organization. This role also partners ...

Data Platform Lead

Tulsa, OK · On-site

$100K - $120K/yr

This role develops data pipelines, creates reliable data models, and delivers analytics-ready datasets that enable business intelligence and reporting across the organization. This role also partners ...

Utilize ETL tools, SQL, data modeling platforms, business intelligence technologies, and programming languages to support development efforts. * Adhere to established development standards ...

New

Data Engineer II

Tulsa, OK · On-site

$120/hr

Utilize ETL tools, SQL, data modeling platforms, business intelligence technologies, and programming languages to support development efforts. * Adhere to established development standards ...

New

Data Architect

Tulsa, OK

$58.25 - $75/hr

... data modeling efforts to ensure a successful implementation Leads and consults on the implementation and integration of data warehouses Establishes standards and guidelines for the design ...

This role combines traditional data science (forecasting, LTV modeling, experimentation validation) with emerging AI capabilities to unlock new efficiencies and insights. A key aspect of this role is ...

New

Data Architect

Tulsa, OK · On-site

$58.25 - $75/hr

... data modeling efforts to ensure a successful implementation Leads and consults on the implementation and integration of data warehouses Establishes standards and guidelines for the design ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Strong command of SQL, relational databases, and data modeling concepts, with the ability to ... structure and optimize data for downstream use. * Proven ability to integrate and manage data ...

Data Engineer

Tulsa, OK · On-site

$104K - $125K/yr

Strong command of SQL, relational databases, and data modeling concepts, with the ability to ... structure and optimize data for downstream use. * Proven ability to integrate and manage data ...

... modeling, pipeline design, testing, monitoring, and documentation across the organization. • Champion Data Quality & Trust~ Drive initiatives focused on data accuracy, completeness, timeliness ...

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Data Modeling information

See Oklahoma salary details

$9

$54

$76

How much do data modeling jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for data modeling in Oklahoma is $54.21, according to ZipRecruiter salary data. Most workers in this role earn between $48.61 and $63.03 per hour, depending on experience, location, and employer.

Will AI replace data modelers?

AI tools can automate certain aspects of data modeling, such as generating schemas or identifying patterns, but data modelers are essential for designing complex data structures, understanding business needs, and ensuring data quality. Human expertise remains critical for interpreting requirements and making strategic decisions, making the role of a data modeler unlikely to be fully replaced by AI in the near future.

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

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

What is a Data Modeling job?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

What does a typical day look like for someone working in Data Modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What does a data modeler do?

A data modeler designs and creates data models to organize and structure data for databases and information systems. They analyze data requirements, develop schemas, and use tools like ER diagrams to ensure data consistency and efficiency. Strong knowledge of data management, modeling techniques, and database systems is essential for this role.

Is 40 too late for data science?

Data modeling is a key skill in data science, and individuals can enter the field at any age with relevant skills, experience, and continuous learning. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and analytical tools, making age less of a barrier than skill development and practical experience.
Infographic showing various Data Modeling job openings in Oklahoma as of June 2026, with employment types broken down into 100% Full Time. Highlights an 75% In-person, and 25% Hybrid job distribution, with an average salary of $112,760 per year, or $54.2 per hour.
Portfolio Analytics & Strategy Analyst - Data, Modeling & Analytics

Portfolio Analytics & Strategy Analyst - Data, Modeling & Analytics

PNC Bank

Ponca City, OK • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 334 frontline employees who took The Breakroom Quiz

73rd of 141 rated banks


Job description

Position OverviewAt PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company's success. As a Portfolio Analytics & Strategy Analyst within PNC's Data, Modeling & Analytics organization, you will be based in Pittsburgh, PA, Tysons, VA, Philadelphia, PA, Wilmington, DE or East Brunswick, NJ.
Preferred skills and experience:
Advanced analytic and problem solving skills that result in achieving ultimate solutions.
Ability to discover Insights in data, summarize, formulate and visualize them into understandable format.
Experience with programming on Hadoop, Teradata, and/or Oracle platforms in Advanced SQL, Spark.
Experience programming in Python, using Pandas, numpy, pyspark, matplotlib, plotly.
Intermediate to advanced Excel skills for data analysis.
Good working understanding on Agile framework, Jira, Confluence, and Git repositories.
Ability to conduct in-depth technical discussions with technology partners as well as convey technical concepts/approaches to key business partners.
Successfully working in a team environment.
Good communication (written and verbal), interpersonal and detail oriented skills.
Possess an understanding of IT concepts including database concepts structures, data management concepts, software/application development & testing techniques.
Experience developing and maintenance of documentation both technical and process/procedural.PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.Job Description
  • Provides financial and regulatory reporting and analyses to maintain adequate controls over the financial and regulatory reporting processes. Responsible for running complex business performance, risk and operational analytics. May include the development of analytical methods/models to assess market, credit and/or operational risk of new and existing financial products.
  • Leverages business / product expertise to rigorously analyze large datasets, improve risk adjusted returns, deliver profitable growth, and communicate conclusions. Synthesizes analytical results and develops, recommends, and implements business strategies that improve lending decisions, assist in managing risk, increase revenues, reduce exposure to losses, meet business goals, and improve performance. Establishes baselines for strategies and tracks actual performance to expectations.
  • Applies predictive models, third party data, and other tools to develop and execute appropriate segmentation and targeting for acquisition and portfolio strategies to provide insight into portfolio risk. Manages engagements with internal and external information suppliers ensuring solution is fit for purpose while maintaining appropriate governance and oversight.
  • Works with business, credit, data, and model development partners to design, develop, and monitor test designs and analytical reporting to track and enhance strategies. Designs / enhances standard reporting suites for regular product / portfolio reviews.
  • Collaborates with the line of business, Finance, and Risk partners to assess and establish credit risk appetite and to understand its implications, as well as to establish policies and procedures governing the identification, monitoring, and management of risk appetite.

PNC Employees take pride in our reputation and to continue building upon that we expect our employees to be:

  • Customer Focused - Knowledgeable of the values and practices that align customer needs and satisfaction as primary considerations in all business decisions and able to leverage that information in creating customized customer solutions.
  • Managing Risk - Assessing and effectively managing all of the risks associated with their business objectives and activities to ensure they adhere to and support PNC's Enterprise Risk Management Framework.
Qualifications

Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.

Preferred SkillsAnalytical Thinking, Credit Risks, Data Analytics, Financial Analysis, Model Development, Operational Risks, Quantitative Models, Risk AppetiteCompetenciesAnalytical Approach, Banking Products, Big Data Management and Analytics, Business Analytics, Credit Risk, Mathematics of Financial Instruments, Operational Risk, Performance Measurement, Predictive Analytics, Pricing Models and Analytics, Regulatory Environment - Financial Services, Risk Management BankingWork ExperienceRoles at this level typically require a university / college degree, with 2+ years of relevant professional experience. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.EducationBachelorsCertificationsNo Required Certification(s)LicensesNo Required License(s)Pay TransparencyBase Salary: $75,000.00 - $125,000.00Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.Application WindowGenerally, this opening is expected to be posted for two business days from 04/23/2026, although it may be longer with business discretion.BenefitsPNC offers a comprehensive range of benefits to help meet your needs now and in the future. Depending on your eligibility, options for full-time employees include: medical/prescription drug coverage (with a Health Savings Account feature), dental and vision options; employee and spouse/child life insurance; short and long-term disability protection; 401(k) with PNC match, pension and stock purchase plans; dependent care reimbursement account; back-up child/elder care; adoption, surrogacy, and doula reimbursement; educational assistance, including select programs fully paid; a robust wellness program with financial incentives.In addition, PNC generally provides the following paid time off, depending on your eligibility: maternity and/or parental leave; up to 11 paid holidays each year; 9 occasional absence days each year, unless otherwise required by law; between 15 to 25 vacation days each year, depending on career level; and years of service.

To learn more about these and other programs, including benefits for full time and part-time employees, visitpncthrive.com.

Disability Accommodations Statement

If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include "accommodation request" in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests will not receive responses. Applicants may also call 877-968-7762 and say "Workday" for accommodation assistance. All information provided will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.


At PNC we foster an inclusive and accessible workplace. We provide reasonable accommodations to employment applicants and qualified individuals with a disability who need an accommodation to perform the essential functions of their positions.

Equal Employment Opportunity (EEO)


PNC provides equal employment opportunity to qualified persons regardless of race, color, sex, religion, national origin, age, sexual orientation, gender identity, disability, veteran status, or other categories protected by law.

This position is subject to the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA) and, for any registered role, the Secure and Fair Enforcement for Mortgage Licensing Act of 2008 (SAFE Act) and/or the Financial Industry Regulatory Authority (FINRA), which prohibit the hiring of individuals with certain criminal history.

California Residents

Refer to the California Consumer Privacy Act Privacy Notice to gain understanding of how PNC may use or disclose your personal information in our hiring practices.


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