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Data Visualization Jobs in Moore, OK (NOW HIRING)

Domain knowledge of the oil and gas industry is preferred along with proficient knowledge of GIS concepts such as spatial data creation and management, data visualization, spatial analysis, FME build ...

Domain knowledge of the oil and gas industry is preferred along with proficient knowledge of GIS concepts such as spatial data creation and management, data visualization, spatial analysis, FME build ...

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Data visualization tools (e.g., Power BI) * Research methods and data synthesis into actionable insights Core Competencies * Strong organizational and administrative skills * Problem-solving mindset ...

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Data Visualization information

See Moore, OK salary details

$52K

$105.4K

$155.5K

How much do data visualization jobs pay per year?

As of Jun 15, 2026, the average yearly pay for data visualization in Moore, OK is $105,401.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $118,400.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Can I learn data analyst in 3 months?

Becoming a data analyst in three months is possible with intensive study of core skills such as data manipulation, visualization, and tools like Excel, SQL, and Tableau. However, mastering the role typically requires ongoing learning and practical experience, especially for complex analysis tasks and industry-specific knowledge.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization tools are better positioned to adapt to these technological changes.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, understanding of data, and the ability to communicate insights effectively, often with a background in statistics or computer science. The field offers growth opportunities as organizations increasingly rely on visual data to inform decisions.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These roles involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What are the most commonly searched types of Data Visualization jobs in Moore, OK? The most popular types of Data Visualization jobs in Moore, OK are:
What job categories do people searching Data Visualization jobs in Moore, OK look for? The top searched job categories for Data Visualization jobs in Moore, OK are:
What cities near Moore, OK are hiring for Data Visualization jobs? Cities near Moore, OK with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Moore, OK as of June 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 11% Hybrid, and 23% Remote job distribution, with an average salary of $105,401 per year, or $50.7 per hour.
Clinical Quality Improvement Specialist II

Clinical Quality Improvement Specialist II

OU Health

Oklahoma City, OK • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 16 days ago


OU Health rating

7.0

Company rating: 7.0 out of 10

Based on 143 frontline employees who took The Breakroom Quiz

403rd of 872 rated healthcare providers


Job description

Position Title:
Clinical Quality Improvement Specialist II
Department:
Quality & Process Improvement
Job Description:
New to OU Health? Ask your recruiter about our competitive wages and total rewards package including a sign-on bonus and possible relocation assistance if you are located outside of 100 miles!
Shift: Full-Time - Weekdays
Job Description
General Description:
The Clinical Quality Improvement Specialist II functions as an independent quality improvement specialist who partners with clinical and operational leaders to drive measurable improvements aligned with organizational priorities. This role integrates analytics, facilitation, and coaching to support improvement initiatives across quality, safety, patient experience, and operational domains. The Specialist II strengthens organizational improvement capability and contributes to a learning health system through data-driven decision-making and evidence-based methodologies.
Essential Responsibilities:
Responsibilities listed in this section are core to the position and encompass all organization facilities, to include outlying Ambulatory Clinics. Inability to perform these responsibilities with or without an accommodation may result in disqualification from the position.
  • Facilitates moderate-complexity improvement initiatives aligned with organizational quality, safety, and performance priorities.
  • Partners with leaders and frontline teams to identify performance gaps, establish improvement aims, and prioritize opportunities for impact.
  • Designs and manages comprehensive measurement plans, including outcome, process, and balancing measures.
  • Independently manages data collection, validation, analysis, and reporting for assigned improvement initiatives.
  • Develops and interprets run charts, control charts, dashboards, and other visual analytics to inform improvement decisions.
  • Supports teams in distinguishing signal from noise and focusing improvement efforts on areas of greatest impact.
  • Translates complex datasets into clear, actionable insights tailored to diverse clinical, operational, and leadership audiences.
  • Prepares and delivers improvement updates and executive-ready presentations for leadership, quality committees, and interdisciplinary forums.
  • Serves as a subject matter expert for assigned quality measures, including measure specifications, benchmarks, and performance trends.
  • Supports the design, implementation, monitoring, and sustainment of improvement initiatives using evidence-based improvement methodologies.

General Responsibilities:
  • Performs other duties as assigned.

Minimum Qualifications:
Education: Bachelor's degree from an accredited school of Nursing required.
Experience: At least three (3) years of experience required in healthcare quality improvement, performance improvement, patient safety, or related analytics role required.
License(s)/Certification(s)/Registration(s) Required: Current Basic Life Support issued by the American Heart Association required upon hire. Current RN License issued by the Oklahoma State Board of Nursing, or a current multistate compact RN License (eNLC).
Knowledge, Skills and Abilities:
  • Strong knowledge of clinical healthcare operations, evidence-based practice, and healthcare research principles.
  • Advanced analytical, facilitation, and structured problem-solving skills.
  • Demonstrated ability to independently lead improvement initiatives.
  • Skilled in measurement for improvement, variation analysis, and data visualization.
  • Strong written and verbal communication skills with ability to present to diverse audiences.
  • Ability to influence and collaborate across multidisciplinary teams and service lines.
  • Ability to manage multiple priorities in dynamic and complex environments.
  • Proficiency in Microsoft Office Suite and data visualization tools.
  • Ability to interpret regulatory and accreditation requirements within improvement work.
  • Demonstrated commitment to continuous improvement and operational excellence.

Current OU Health Employees - Please click HERE to login.
OU Health is an equal opportunity employer. We offer a comprehensive benefits package, including PTO, 401(k), medical and dental plans, and many more. We know that a total benefits and compensation package, designed to meet your specific needs both inside and outside of the work environment, create peace of mind for you and your family.

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About OU Health

Sourced by ZipRecruiter

OU Health is a leading company in the healthcare industry, based in Oklahoma City, OK, US. As the state's only comprehensive academic health system, OU Health provides a full spectrum of medical care, from world-class cancer treatments to life-saving emergency care. Founded with a mission to advance healthcare, medical education, and research across the state, the company has a solid reputation for clinical excellence and a patient-centered approach. Upholding its core values of compassion, integrity, and innovation, OU Health has remarkably made a significant contribution to medical research and education and raised the standard of care across a broad range of specialties.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Oklahoma City, OK, US

Year founded

2020