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Learning Analytics Jobs in Oklahoma (NOW HIRING)

Summary We're looking for a Machine Learning Engineer to design, deploy, and operate production ML ... This role sits at the intersection of ML engineering and MLOps and is core to CCT's analytics ...

Summary We're looking for a Machine Learning Engineer to design, deploy, and operate production ML ... This role sits at the intersection of ML engineering and MLOps and is core to CCT's analytics ...

Molding Manufacturing Supervisor

Ada, OK · On-site

$50K - $68K/yr

Development and Continual Learning * Analytical and Problem Solving Skills * Research and Analysis * Decision Making and Judgement * Flexibility Job Duties * All work must be performed in a safe ...

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Learning Analytics information

See Oklahoma salary details

$20

$36

$56

How much do learning analytics jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for learning analytics in Oklahoma is $36.49, according to ZipRecruiter salary data. Most workers in this role earn between $26.63 and $39.95 per hour, depending on experience, location, and employer.

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

To thrive in Learning Analytics, you need strong analytical skills, experience with data analysis, and a background in educational research or instructional design, typically supported by a relevant degree. Familiarity with Learning Management Systems (LMS), statistical tools like R or Python, and certifications in data analytics are commonly expected. Excellent communication skills, problem-solving abilities, and a collaborative mindset help professionals convey insights and work effectively with educators and administrators. These skills are essential for interpreting educational data, driving improvements in teaching and learning, and supporting data-driven decisions in academic environments.

What is a Learning Analytics job?

A Learning Analytics job involves collecting, analyzing, and interpreting data related to learners' performance and educational experiences. Professionals in this field use data-driven insights to improve teaching strategies, personalize learning experiences, and enhance institutional decision-making. They work with various analytical tools, machine learning models, and data visualization techniques to identify patterns and trends. This role is common in educational institutions, corporate training programs, and EdTech companies.

What are typical daily responsibilities for someone working in Learning Analytics?

Professionals in Learning Analytics typically spend their days collecting, cleaning, and analyzing educational data to identify patterns that can improve student outcomes and learning processes. They work closely with faculty, instructional designers, and IT teams to generate reports, visualize trends, and advise on data-backed strategies for curriculum improvement. Day-to-day tasks also involve maintaining data integrity, developing dashboards, and communicating findings in accessible ways to stakeholders. Collaboration and ongoing learning are integral, as the field continually evolves with advances in education technology and analytical methods.

What are popular job titles related to Learning Analytics jobs in Oklahoma? For Learning Analytics jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Learning Analytics jobs in Oklahoma look for? The top searched job categories for Learning Analytics jobs in Oklahoma are:
Infographic showing various Learning Analytics job openings in Oklahoma as of June 2026, with employment types broken down into 74% Full Time, 18% Part Time, 3% Temporary, and 5% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $75,892 per year, or $36.5 per hour.
Quantitative Analytics & Model Analyst Senior - C&IB - Commercial

Quantitative Analytics & Model Analyst Senior - C&IB - Commercial

PNC Bank

Ponca City, OK

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 hours ago


PNC Bank rating

7.7

Company rating: 7.7 out of 10

Based on 339 frontline employees who took The Breakroom Quiz

78th of 144 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 Quantitative Analytics & Model Analyst Senior within PNC's Data Model Analytics organization, you will be based in Pittsburgh or Philadelphia, PA; Cleveland, OH; or Tyson's Corner, VA.
Key Responsibilities:
Develop, implement, and maintain quantitative and machine learning models for analytics and decision support.
Apply statistical and mathematical techniques, including logistic and linear regression, to solve business problems.
Perform data analysis, feature engineering, model training, testing, and validation.
Use Python to write clean, efficient, and well documented code for modeling and analysis.
Evaluate model performance using appropriate metrics and ensure robustness and accuracy.
Prepare presentations and written documentation to clearly communicate model methodology, results, and insights to technical and non technical audiences.
Collaborate with cross functional partners to understand requirements and translate them into analytical solutions.
Support model lifecycle activities, including enhancements, recalibration, and monitoring.
Required Experience & Skills:
2-3+ years of professional experience in quantitative analytics, modeling, or a related role.
Strong Python programming and coding skills.
Solid foundation in mathematics and statistics.
Hands on experience with logistic regression and linear regression.
Experience applying machine learning techniques.
Proven experience developing and implementing models end to end.
Ability to build or demonstrate a portfolio of modeling or analytical work.
Bachelor's degree in mathematics, Statistics, Quantitative Analytics, or a related quantitative field.
Strong presentation, communication, and documentation skills, with the ability to explain complex concepts clearly.
Preferred Experience & Skills:
Experience with PySpark or working in distributed data environments.
Banking or financial services experience.
Knowledge of credit risk or portfolio metrics such as PD (Probability of Default), LGD (Loss Given Default), and EAD/ED (Exposure at Default).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
  • Independently performs advanced quantitative analyses and model development to drive decision-making by running quantitative strategies. Makes recommendations based on analyses.
  • Analyzes and develops new model frameworks by supporting the line of business. Refines, monitors, and reviews existing models. Conducts on-going communication with model owners and model developers during the course of the review. Works with larger, more complex datasets to create models.
  • Performs quantitative analysis and develops complex reports. Performs qualitative and quantitative assessments of all aspects of models including theoretical aspects, model design and implementation as well as data quality and integrity. Analyzes complex data and associated quantitative analysis. Makes recommendations based on findings from data analytics.
  • Uses quantitative tools and techniques to measure and analyze model risks and reaches conclusions on strengths and limitations of the model.
  • Prepares and analyzes detailed documents for validation and regulatory compliance, using applicable templates.

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 AppetiteCompetenciesBank Quantitative Analysis, Consulting, Data Gathering and Reporting, Effective Communications, Predictive Analytics, Quantitative Techniques, Regulatory Environment - Financial Services, TestingWork ExperienceRoles at this level typically require a university / college degree, with 3+ years of relevant / direct industry experience. Certifications are often desired. 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: $86,250.00 - $172,500.00Salaries 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 04/29/2026, 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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