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Data Analyst Jobs in Moore, OK (NOW HIRING)

MACU

Data Analyst

Oklahoma City, OK · On-site

$60 - $80/hr

Data Analyst Full Time Technical Oklahoma City, OK, US 2 days ago Requisition ID: 1455 POSITION SUMMARY: The Data Analyst manages the technical data architecture, automated data pipelines, data ...

New

FHLB Des Moines

Data Analyst

Oklahoma City, OK · On-site

$85 - $125/hr

In this role, Data Analysis works with greater autonomy on routine analyses and contributes to larger projects, providing reliable analysis that informs team-level decisions. Responsibilities

Dentaldepotarizona

Data Analyst

Oklahoma City, OK · On-site

$60 - $80/hr

DATA ANALYST POSITION SUMMARY THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE POSITION. Primary responsibility for hands‑on analytic reporting, data infrastructure support, and ...

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

DATA ANALYST POSITION SUMMARY THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE POSITION. Primary responsibility for hands-on analytic reporting, data infrastructure support, and ...

Priority Dispatch Corp.

Data Analyst

Oklahoma City, OK · On-site

$65 - $85/hr

Primary responsibility for hands-on analytic reporting, data infrastructure support, and development within the organization's reporting platform (DDI). This position reports directly to the Senior ...

Sabai Global

Operational Data Analyst

Oklahoma City, OK · On-site

$60 - $80/hr

The Operations Data Analyst is responsible for data analysis requests and the support of our internal Operations Teams. Responsibilities include research into processing metrics and exception ...

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All JobsData Analyst JobsData Analyst Jobs in Moore, OK

Data Analyst information

See Moore, OK salary details

$32.7K

$79.6K

$131K

How much do data analyst jobs pay per year?

As of Sep 6, 2026, the average yearly pay for data analyst in Moore, OK is $79,583.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,200.00 and $93,400.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Moore, OK?

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For Data Analyst jobs in Moore, OK, the most frequently searched job titles are:

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What cities near Moore, OK are hiring for Data Analyst jobs?

Cities near Moore, OK with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Moore, OK as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $79,583 per year, or $38.3 per hour.

Data Analyst

MACU

Oklahoma City, OK • On-site

$60 - $80/hr

Other

Posted 2 days ago

New

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Analyst

Full Time Technical Oklahoma City, OK, US

2 days ago Requisition ID: 1455

POSITION SUMMARY:

The Data Analyst manages the technical data architecture, automated data pipelines, data integration, and reporting infrastructure (dashboards) that support accreditation, assessment, and institutional research.

ESSENTIAL DUTIES AND RESPONSIBILITIES:

This person is responsible for the following:

  • Data Architecture & ETL: Develops and maintains SQL queries, scripts, and automation workflows to extract data from systems
  • Dashboarding & Reporting: Designs, deploys, and maintains interactive dashboards using visual tools (e.g., Power BI) for assessment, enrollment, and operational tracking.
  • Data Governance & Quality: Maintains data dictionaries and validates integrity across transactional and analytical databases.
  • Accreditation Systems: Builds automated digital repositories and evidence pipelines to gather compliance metrics efficiently.
  • Assists with staff training and development in areas related to data collection, data management, and data analysis.
  • Supports institutional data needs for strategic decision‑making, enrollment planning, student success, and evaluation of program effectiveness.
  • Other responsibilities, as assigned
QUALIFICATIONS:

Meet the technical qualifications for the position, ability to explain data concepts, ability to think through processes from a user and technical standpoint.

EDUCATION and/or EXPERIENCE:

Bachelor’s degree in Computer Science, Data Analytics, Information Systems, or a related field.

COMPUTER SKILLS:

2+ years writing complex SQL, managing database systems, and building business intelligence dashboards (Tableau/Power BI).

PHYSICAL DEMANDS:

Sitting/Stationary Position: Constantly operates a computer and other office productivity machinery (e.g., laptop, keyboard, mouse, printer). Must be able to remain in a stationary position 75%–100% of the workday.

Manual Dexterity: Repetitive hand, wrist, and finger movements are required for typing, clicking, and operating peripheral equipment.

Visual Acuity: Close visual clarity is required for viewing monitors, analyzing complex data, reading documentation, and extensive screen time.

Communication: Frequently communicates with colleagues and clients over video call, phone, and messaging platforms; must be able to exchange accurate information in these situations.

Lifting: Occasional lifting or moving of office items (such as laptops, monitors, or document boxes) up to 10–15 lbs.

WORK ENVIRONMENT:

Setting: Indoor, climate-controlled professional office environment or home office workspace.

Noise Level: Low to moderate (equivalent to a typical office setting with computers, printers, and quiet conversations).

Travel/Schedule: Standard business hours with minimal travel expected (unless specified otherwise by the role).

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