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Data Analytics Jobs in Tulsa, OK (NOW HIRING)

Pwc

Data Engineer - Senior Associate

Tulsa, OK · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Manager

Tulsa, OK · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

HUB

Cross-Sell Data Analyst, Dynamics 365

Tulsa, OK · On-site

$80K - $110K/yr

Utilize data mining and analytics/AI methods to generate key insights into prospects, such as gaps in services, excessive fees, benchmarks for improvements, elevated fiduciary exposure, financial ...

Pwc

Data Engineer - Senior Manager

Tulsa, OK · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Safety Radar

Data Scientist

Tulsa, OK · On-site

$80K - $120K/yr

Contribute to the development of AI analysis frameworks to ensure accurate and consistent results across all customer data sources. Perform analysis of AI results for internal use to detect and fix ...

Staffingine LLC

Business Data Scientist

Tulsa, OK · On-site

Tulsa, OK Job Type: Full Time * Develops, implements, and supports business intelligence reporting and advanced * analytical model development, architecture, data availability and data models

ONEOK, Inc

Engineer II (ILI Data Analysis)

Tulsa, OK · On-site +1

$104K - $125K/yr

JOB SUMMARY This Engineer II role is responsible for ensuring accuracy, analyzing and managing In-Line Inspection data for the Natural Gas Liquids, Natural Gas Pipeline, and Natural Gas Gathering ...

Globalchannelmanagement

Fleet Analyst I

Tulsa, OK

$25 - $26/hr

Data & Analytics: Audit inventory logs, clean raw data, and run operational equipment cost studies. * Collaboration: Partner with Supply Chain, Safety, and field operations to keep fleet records ...

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All JobsData Analytics JobsData Analytics Jobs in Tulsa, OK

Data Analytics information

See Tulsa, OK salary details

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How much do data analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analytics in Tulsa, OK is $47.46, according to ZipRecruiter salary data. Most workers in this role earn between $38.12 and $53.75 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 Tulsa, OK?

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

What are popular job titles related to Data Analytics jobs in Tulsa, OK?

For Data Analytics jobs in Tulsa, OK, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Tulsa, OK look for?

The top searched job categories for Data Analytics jobs in Tulsa, OK are:

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

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

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Tulsa, OK as of August 2026, with employment types broken down into 75% Full Time, 5% Part Time, and 20% Contract. Highlights an 100% In-person job distribution, with an average salary of $98,725 per year, or $47.5 per hour.

Director of Safety Intelligence & Risk Analytics

Grand Mental Health

Tulsa, OK • On-site

$115K - $150K/yr

Full-time

Re-posted 11 days ago

Grand Mental Health rating

5.2

Company rating: 5.2 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

201st of 242 rated social care providers

Job description

Description
Director of Safety Intelligence & Risk Analytics
Reports To: Executive Vice President andChief Operating Officer
Position Type: Full-Time | Exempt
Location: Tulsa, Oklahoma | Statewide Travel Required
Position Summary
The Director of Safety Intelligence & Risk Analytics serves as the enterprise leader responsible for transforming safety, security, and risk management into a data-driven, intelligence-led function across GRAND Mental Health. This role establishes a predictive risk intelligence capability that proactively identifies, analyzes, and mitigates threats to patients, staff, facilities, and operations. The Director builds and operationalizes a real-time safety intelligence ecosystem integrating clinical, operational, environmental, and external data into actionable insights that inform executive decision-making, strengthen organizational resilience, and improve outcomes.
Core Mandate
Build and lead an enterprise safety intelligence program that uses data, analytics, and predictive modeling to reduce risk, prevent incidents, and strengthen organizational resilience.
Enterprise Safety Intelligence Strategy
• Design and implement an enterprise-wide safety intelligence and risk analytics framework
• Transition the organization from reactive response to predictive, intelligence-led risk management
• Establish centralized safety data governance and integration
Data, Analytics & Predictive Risk Modeling
• Develop and own real-time dashboards and KPIs (Power BI or equivalent)
• Integrate data across EHR, incident reporting, workforce, and facility systems
• Perform predictive modeling and trend analysis to identify emerging risks
• Deliver executive-level insights and risk forecasts
Threat Intelligence & Environmental Monitoring
• Monitor local, regional, and national threat intelligence
• Translate intelligence into proactive mitigation strategies
• Build partnerships with law enforcement and emergency management agencies
Operational Safety & Risk Reduction
• Lead enterprise risk mitigation planning based on data insights
• Oversee emergency preparedness and response frameworks
• Ensure alignment between analytics and operational execution
Integration with Clinical, CQI & Operations
• Partner with clinical, CQI, and operational leadership
• Align safety metrics with outcomes, workforce stability, and compliance
• Embed safety into continuous improvement processes
Technology & Systems Leadership
• Evaluate and implement advanced safety and intelligence technologies
• Ensure data integrity, interoperability, and real-time visibility
Culture, Training & Adoption
• Build a culture of shared accountability for safety
• Develop training for threat recognition and data-informed decision making
• Translate analytics into frontline actionable insights
Performance Metrics
Success will be measured through:
• Reduction in safety incidents and workplace injuries
• Improvement in response time and incident resolution
• Adoption of real-time dashboards across leadership
• Demonstrated predictive risk mitigation capability
• Improved staff perception of safety
• Integration of safety insights into executive decision-making
Qualifications
Required:
• 7-10+ years in risk management, security, intelligence, or related field
• Experience building data-driven or intelligence-based programs
• Experience in multi-site, complex organizations
Preferred:
• Healthcare or behavioral health experience
• Background in law enforcement, federal/state agencies, or corporate risk intelligence
• Experience with analytics tools (Power BI, Tableau)
• Familiarity with CARF, CMS, or regulatory frameworks
Leadership Profile
• Strategic thinker who converts data into action
• Builder of systems and enterprise capabilities
• Translator between data, clinical, and executive functions
• Calm, decisive leader in high-risk environments
• Culture driver who balances safety with a therapeutic environment

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