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Analytics Jobs in Oklahoma (NOW HIRING)

Data Analytics and Visualization Specialist Apply now Job no: 492311 Work type: Regular Full-Time Location: USA (non-CU jobs) Categories: Strategic Information/Surveillance/Monitoring & Evaluation ...

$90K - $110K/yr

Position Summary The Analytics Engineer is responsible for owning the design, build, and ongoing maintenance of data products in the MART layer of the firm's data platform. This role creates and ...

Senior Data Engineer

Tulsa, OK · 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.

Senior Data Engineer

Tulsa, OK · Remote

$96K - $131K/yr

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

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Analytics information

See Oklahoma salary details

$59.6K

$115.7K

$165.3K

How much do analytics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for analytics in Oklahoma is $115,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $137,600.00 per year, depending on experience, location, and employer.

What is analytics and what do analytics professionals do?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but overall, data analysts and related roles tend to offer competitive salaries.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types based on their focus: business analysts, who interpret data to inform business decisions; operations analysts, who optimize processes; financial analysts, who analyze financial data; and marketing analysts, who evaluate marketing campaigns and customer data. Each type requires specific skills and tools, such as SQL, Excel, and data visualization software, to perform their roles effectively.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

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

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, providing insights, and making strategic decisions. The role is evolving to include skills in machine learning, data visualization, and domain expertise, making human judgment still vital in the analytics field.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

Is 40 too late for data science?

The analytics field, including data science, values skills and experience over age; many professionals transition into data science later in their careers. Gaining proficiency in programming languages like Python or R, along with statistical knowledge and relevant certifications, can help late entrants succeed. Age is less a barrier than acquiring the necessary technical skills and building a strong portfolio.
What are the most commonly searched types of Analytics jobs in Oklahoma? The most popular types of Analytics jobs in Oklahoma are:
What cities in Oklahoma are hiring for Analytics jobs? Cities in Oklahoma with the most Analytics job openings:
Infographic showing various Analytics job openings in Oklahoma as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $115,718 per year, or $55.6 per hour.
Business Analytics Lead - C&IB Data Analytics

Business Analytics Lead - C&IB Data Analytics

PNC Bank

Ponca City, OK

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 343 frontline employees who took The Breakroom Quiz

91st of 170 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 Business Analytics Lead within PNC's C&IB Data Analytics organization, you will be based in Pittsburgh or Philadelphia, PA; or Cleveland, OH.
Job Summary:
The Business Analytics Lead is responsible for delivering advanced analytics, data models, and executive level dashboards that support strategic decision making and revenue growth. This role requires strong hands on technical expertise in Python, SQL, advanced analytics, and Tableau/Power BI, along with the ability to partner effectively with senior stakeholders. The ideal candidate brings a consultative mindset, strong presentation skills, and the ability to translate complex data into clear, actionable insights.
Key Responsibilities:
Advanced Analytics & Modeling
Apply advanced analytics techniques to solve complex business and revenue problems.
Design, develop, and enhance analytical models, demonstrating a strong understanding of modeling and model development.
Build and maintain scalable analytical solutions using Python, SQL, and/or R.
Support testing, validation, and continuous improvement of analytical models.
Data Engineering & Data Pipelines
Build and manage advanced data models and data pipelines using SQL, Python, and/or R.
Perform data querying, analysis, and reconciliation across multiple data sources to ensure data accuracy and integrity.
Optimize data structures, workflows, and processes to support analytics and reporting at scale.
Dashboards & Data Visualization
Lead the design, automation, and optimization of executive level dashboards and reporting, primarily using Tableau.
Develop high quality dashboards and data visualizations using Tableau and/or Power BI.
Ensure dashboards are performance optimized, user friendly, and tailored to senior leadership needs.
Establish and enforce best practices for data visualization and executive reporting.
Revenue & Sales Enablement Analytics
Support sales enablement and revenue analytics initiatives, including performance tracking, forecasting, and business insight development.
Analyze revenue trends, drivers, and opportunities to inform strategic decision making.
Partner with sales and business stakeholders to deliver actionable, data driven recommendations.
Executive Communication & Stakeholder Partnership
Apply strong judgment, attention to detail, and a consultative mindset when framing insights and recommendations.
Prepare and deliver executive ready presentations that translate complex analytics into business impact.
Communicate effectively with senior leaders and cross functional partners.
Demonstrate strong analytical and problem solving skills with exceptional attention to detail.
Required Experience & Skills:
6+ years of professional experience in advanced analytics, business analytics, or data analytics.
Senior level experience supporting executive stakeholders and strategic initiatives.
Advanced proficiency in Python for data analysis, modeling, automation, or testing activities.
Strong hands on experience with SQL for data querying, analysis, and reconciliation.
Strong understanding of analytics modeling and model development.
Hands on experience building dashboards and data visualizations using Tableau and/or Power BI.
Excellent communication and presentation skills, with the ability to influence senior leadership.
Preferred Experience & Skills:
Experience with R and/or R Shiny.
Master's degree in Analytics, Data Science, Statistics, Computer Science, Economics, or a related field.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
  • Leads the analytics processes across multiple functions or business units leveraging an array of complex analytical tools to create data driven solutions. Serves as mentor to more junior employees.
  • Consults with clients and mentors consultants on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product / solution development.
  • Determining the optimal analytic approach and supporting development, implementation and enhancements.
  • Assists peers with guidance on analytic approaches related to more complex solutions.
  • Conceptualizing, developing and continuously optimizing analytical solutions for business leadership to enable data driven decision making.
  • Analyze results and make recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.

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, Business Intelligence (BI), Concept Development, Data-Driven Decision Making, Data Integration, Market Research, Performance Metrics, Qualitative Research, Strategic PlanningCompetenciesAnalytical Thinking, Business Acumen, Business Analytics, Consulting, Decision Making and Critical Thinking, Effective Communications, Emerging TechnologiesWork ExperienceRoles at this level typically require a university / college degree, with 5+ years of industry-relevant experience. Specific certifications are often required. 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: $91,000.00 - $185,900.00Salaries 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 04/30/2026, 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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