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Hourly Data Analytics Jobs in Edmond, OK (NOW HIRING)

Experience: 2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable). Experience working with structured ...

Data Engineer

Oklahoma City, OK

$106K - $127K/yr

JOB OVERVIEW The mission of the Data Analytics Engineer at Warwick Energy is to bridge the gap between data engineering and business intelligence (BI) teams seamlessly. In this role, you will convert ...

Data Engineer

Oklahoma City, OK · On-site

$106K - $127K/yr

JOB OVERVIEW The mission of the Data Analytics Engineer at Warwick Energy is to bridge the gap between data engineering and business intelligence (BI) teams seamlessly. In this role, you will convert ...

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Hourly Data Analytics information

See Edmond, OK salary details

$22

$49

$85

How much do hourly data analytics jobs pay per hour?

As of Aug 26, 2026, the average hourly pay for hourly data analytics in Edmond, OK is $49.46, according to ZipRecruiter salary data. Most workers in this role earn between $39.76 and $56.06 per hour, depending on experience, location, and employer.

What is hourly data analytics?

Hourly data analytics refers to the process of collecting, analyzing, and interpreting data on an hourly basis to monitor trends, performance, and patterns within that specific timeframe. This approach is commonly used in industries such as retail, IT, and manufacturing to spot hourly fluctuations, optimize operations, and make timely decisions. Hourly data analytics can help organizations quickly identify issues or opportunities and respond proactively, improving overall efficiency and outcomes.

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

To thrive as an Hourly Data Analyst, you need strong analytical abilities, proficiency with data manipulation, and a foundational understanding of statistics, often supported by a degree in a quantitative field. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Attention to detail, problem-solving, and effective communication are crucial soft skills that set top performers apart. These skills and qualities are important to ensure accurate data insights, efficient task completion, and clear reporting to stakeholders.

What are some common challenges faced in an hourly data analytics role, and how can I prepare for them?

In an hourly data analytics role, a common challenge is managing multiple short-term projects with tight deadlines, as tasks often shift based on immediate business needs. You'll need to quickly analyze datasets, generate actionable insights, and communicate findings to different stakeholders, sometimes with limited context. To succeed, focus on honing your time management, adaptability, and clear communication skills. Being comfortable with learning new analytics tools on the fly and collaborating with cross-functional teams will also help you thrive in this dynamic environment.

What is the difference between Hourly Data Analytics vs Data Analyst?

AspectHourly Data AnalyticsData Analyst
Work HoursTypically hourly, flexible shiftsUsually full-time, standard hours
CertificationsRelevant certifications (e.g., Google Data Analytics)Same certifications often required
Work EnvironmentContract or freelance settings, remote or onsiteCorporate or organizational settings, office or remote
Job ScopeProject-based, task-specificBroader analysis responsibilities

Hourly Data Analytics and Data Analyst roles share similar skills and certifications but differ mainly in work hours and employment type. Hourly Data Analytics offers flexible, project-based work, while Data Analysts often work full-time in organizational settings. Both roles require comparable analytical skills and certifications, making them closely related in the data industry.

What are the most commonly searched types of Data Analytics jobs in Edmond, OK?

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

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

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

Data Analyst

Dental Depot

Oklahoma City, OK • On-site

Full-time

Re-posted 10 days ago


Job description

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 development within the organization's reporting platform (DDI). This position reports directly to the Senior Business Intelligence Engineer and supports the Business Intelligence team in executing reporting, database, and data integration workstreams, including report development, data modeling, and system optimization.
This is an execution-focused role responsible for building, maintaining, and improving reporting outputs and underlying data structures. The position emphasizes technical competency, attention to detail, and the ability to produce accurate work within established systems and processes.
ESSENTIAL FUNCTIONS
To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodation may be made to help enable qualified individuals with disabilities to perform the essential functions.
  • Support the Business Intelligence team in building, maintaining, and optimizing Power BI dashboards and reports within the company reporting platform (DDI).
  • Write and modify SQL queries to support reporting, data extraction, validation, and troubleshooting.
  • Work with relational datasets, including joining multiple tables and validating outputs for accuracy and consistency.
  • Assist in the development and maintenance of data pipelines, transformations, and structured datasets within Snowflake or similar environments.
  • Execute data preparation, cleansing, and validation processes to ensure data integrity across reports and systems.
  • Troubleshoot reporting and data issues, identifying root causes and resolving issues without introducing downstream errors.
  • Follow established development standards, naming conventions, and documentation practices.
  • Assist in automating recurring reporting processes and improving workflow efficiency.
  • Work directly with internal stakeholders to gather report requirements, clarify objectives, and ensure alignment with business needs.
  • Document report logic, data definitions, and technical processes clearly and consistently.
  • Perform routine audits of reports and datasets to identify discrepancies, inconsistencies, or performance issues.
  • Support testing, validation, and deployment of new or updated reports and data processes.

skills and ability
Adaptability - Ability to adapt to change in the workplace and adjust to evolving business needs and priorities.
Organized - Possesses strong organizational skills and follows structured processes in completing work.
Detail Oriented - Demonstrates a high level of attention to detail and accuracy in all deliverables.
Analytical Skills - Ability to apply structured thinking and logical reasoning to technical and data-related problems.
Accuracy - Ability to perform work accurately and thoroughly, validating outputs before delivery.
Communication Skills - Ability to communicate clearly and effectively when gathering requirements, reporting issues, and providing updates.
Cross-Functional Collaboration - Ability to work effectively with internal stakeholders across departments to support reporting needs.
Problem Solving - Ability to troubleshoot issues independently and propose multiple potential solutions prior to escalation.
Technical Aptitude - Demonstrates a strong foundational understanding of data structures, reporting tools, and technical systems.
Accountability - Takes ownership of assigned work and follows through to completion with minimal oversight.
Work Ethic - Demonstrates reliability, urgency, and a consistent commitment to producing high-quality work.
WORK ENVIRONMENT
While performing the duties of this job, the employee is occasionally exposed to toxic or caustic chemicals, body fluids, blood borne pathogens, and the risk of radiation. The noise level is usually moderate. As the dental practice is heavily dependent on scheduling, the general environment can become hectic at times. Therefore, the employee must be able to handle effectively the normal anxieties associated with the job.
EDUCATION, EXPERIENCE & TECHNICAL SKILLS
Education:
Bachelor's degree (four-year college) in a related field preferred (e.g., Information Systems, Computer Science, Data Analytics, Finance, or similar).
Experience:
2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable).
Experience working with structured datasets and reporting tools required.
Certifications & Licenses:
Microsoft Office Specialist Excel/Power Platform Expert Certification
Computer Skills:
  • Microsoft Suite of Services (Excel, Teams, Outlook, PowerPoint, Power BI)
  • SQL (required - ability to write queries involving joins, aggregations, and data validation)
  • Snowflake or similar cloud data platforms (preferred)
  • Familiarity with ETL/ELT processes and data pipeline concepts
  • Familiarity with AI-assisted tools (e.g., ChatGPT, Copilot) to support workflow efficiency and technical problem solving

PROFESSIONAL & BUSINESS Skills:
  • Ability to follow established processes and technical standards with consistency
  • Strong attention to detail in data handling, validation, and reporting outputs
  • Ability to manage multiple tasks and meet deadlines in a structured environment
  • Willingness to learn and develop technical skills on the job
  • Ability to approach problems methodically and avoid making unsupported assumptions
  • Clear written and verbal communication for task updates, issue identification, and resolution
  • Ability to work independently while aligning with team direction and priorities