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Operational Data Analyst Jobs in Texas (NOW HIRING)

Glow Networks

Operational Data Analyst

Dallas, TX · On-site

Operational Data Analyst Location: Denver, CO Duration: 10 Months Qualifications: • 8+ years of IT project-based team experience. • 5+ years of experience working with enterprise-level projects.

Lantern

Operations Data Analyst

Dallas, TX · On-site

You will compile, organize, and analyze operational data to help leadership and the team understand performance, identify trends, and make informed decisions. Working closely with the leadership team ...

Lantern

Operations Data Analyst

Dallas, TX · On-site +1

You will compile, organize, and analyze operational data to help leadership and the team understand performance, identify trends, and make informed decisions. Working closely with the leadership team ...

360 IT Professionals

DATA ANALYST

Dallas, TX

The Data Analyst will partner with business and operations technology teams to define and execute data analytics initiatives that help executive leadership gain buy-in on the investments made, create ...

Robert Half

Data Analyst

Austin, TX · On-site

$26 - $35/hr

We are looking for a Data Analyst to join a healthcare organization in Austin, Texas on a contract ... In this role, you will turn operational data into clear insights that help improve reporting ...

Crouch Staffing Solutions, Inc.

Data Analyst

Waco, TX · Hybrid

$70K/yr

Partner with accounting, operations, purchasing, inventory, sales, and leadership teams to provide accurate and timely data analysis. * Identify data discrepancies, reporting errors, duplicate ...

LP Analyst

Data Analyst - Data Operations

Dallas, TX · On-site

They are seeking a detail-oriented and technically motivated Data Analyst to join their operations team, responsible for the collection, processing, and delivery of financial data to clients.

Hawk Group

Data Analyst

Midland, TX · On-site

$61.60 - $70.84/hr

The Well Servicing Engineering Technician / Data & Reporting Analyst supports well management engineering, operations, and leadership through advanced data management, reporting, and analytics. This ...

FIRST SERVICE CREDIT UNION

Data Analyst

Houston, TX · On-site

Working within the Data Operations Department, the Data Analyst collects and analyzes data from core banking, lending, and member-facing systems - sales figures, market and member research ...

A.P. Møller - Maersk A/S

Data Analyst

Cedar Hill, TX · On-site

$65K - $72K/yr

Analyze operational performance data to identify trends, opportunities, and root causes. * Design, develop, and maintain dashboards, scorecards, and recurring reports using business intelligence ...

Sphere

Data Analyst (Spring, TX)

Spring, TX

The ideal candidate is analytical, detail-oriented, and highly collaborative, with the ability to ... Review, clean, standardize, and maintain customer and operational data across internal systems

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

The Data Analyst will be responsible for collecting, processing, and analyzing data to support project decisions, improve operational efficiency, and provide insights that drive strategic planning.

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Operational Data Analyst information

See Texas salary details

$31.7K

$77K

$126.7K

How much do operational data analyst jobs pay per year?

As of Jul 27, 2026, the average yearly pay for operational data analyst in Texas is $76,992.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $90,400.00 per year, depending on experience, location, and employer.

What is the difference between Operational Data Analyst vs Data Analyst?

AspectOperational Data AnalystData Analyst
Required CredentialsBachelor's in Data Science, Business, or related field; proficiency in SQL, Excel, and data visualization toolsBachelor's in Statistics, Mathematics, or related field; similar technical skills
Work EnvironmentFocus on operational data, process improvement, and real-time analytics within organizationsBroader data analysis across various projects, including market research and reporting
Employer & Industry UsageUsed in industries like manufacturing, logistics, and retail for operational insightsCommon across finance, marketing, healthcare, and other sectors for data-driven decision-making

Operational Data Analysts specialize in analyzing operational data to improve processes and efficiency, often working closely with operational teams. Data Analysts have a broader scope, working on various data projects across different departments. While both roles require similar skills and education, their focus areas and typical industries differ, making each role unique in its contribution to organizational success.

What is an Operational Data Analyst?

An Operational Data Analyst is a professional who collects, analyzes, and interprets data related to an organization's daily operations. Their main goal is to identify trends, inefficiencies, and opportunities for process improvement by working closely with operational teams. They use various data analysis tools and methods to create reports, dashboards, and actionable insights that support decision-making. Operational Data Analysts often collaborate with different departments to ensure data accuracy and optimize business performance.

What are some common challenges faced by Operational Data Analysts when working with cross-functional teams?

Operational Data Analysts often work closely with departments such as operations, finance, and IT, each of which may have different data priorities and technical backgrounds. A common challenge is translating complex data findings into actionable insights for non-technical stakeholders while ensuring data integrity across systems. Effective communication and a collaborative approach are essential to align goals, clarify requirements, and ensure successful project outcomes.

What are the key skills and qualifications needed to thrive as an Operational Data Analyst, and why are they important?

To thrive as an Operational Data Analyst, you need strong analytical abilities, statistical knowledge, and experience with data management, often supported by a degree in data science, statistics, or a related field. Proficiency in data analysis tools such as SQL, Excel, Python, and business intelligence platforms like Tableau or Power BI is typically required. Excellent problem-solving skills, attention to detail, and effective communication help analysts interpret complex information and share actionable insights with stakeholders. These skills are crucial for optimizing business processes, enabling data-driven decisions, and delivering measurable operational improvements.
What are popular job titles related to Operational Data Analyst jobs in Texas? For Operational Data Analyst jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Operational Data Analyst jobs in Texas look for? The top searched job categories for Operational Data Analyst jobs in Texas are:
Operational Data Analyst jobs near you
Infographic showing various Operational Data Analyst job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,992 per year, or $37 per hour.
Operational Data Analyst

Operational Data Analyst

Glow Networks

Dallas, TX • On-site

Full-time

Posted 11 hours ago

Job description

Job Description: Operational Data Analyst
Location: Denver, CO
Duration: 10 Months
Qualifications:
• 8+ years of IT project-based team experience.
• 5+ years of experience working with enterprise-level projects. Cable industry experience preferred.
• Experience in data mastering tasks such as source identification, data collection, data transformation, normalization, rule administration, error detection and correction, data consolidation, data storage, data distribution, data classification, taxonomy services, data enrichment, hierarchy management, business semantics management and data governance.
• Experience with Jira and Remedy (or comparable) required. JQL experience is preferred.
• Experience with Confluence, creating pages & content preferred.
• Experience with Smartsheet, Lucidchart and Excel.
• Demonstrated experience in creating informative and consumable metrics communication content.
• Demonstrated process documentation skills such as flow charts, swim lane diagrams, sequence diagrams and data flow diagrams.
• Attention to detail.
• Obsession with achieving and maintaining clean and accurate data.
• Continuously seeks opportunities to improve features, performance, and usability of the metrics generation/distribution system and processes used by the team.
• Strong logical and analytic skills.
• Ability to work effectively in a matrixed environment and deal effectively with ambiguity.
• Exceptional people skills. Comfortable driving, coaching and working with a diverse group of people and serve as arbitrator when conflicts arise.
• Excellent written and verbal communication skills.
Responsibilities:
• Assist the team in the collection, processing and distribution of the data, information and knowledge necessary to coordinate service deployment into the company's private and public cloud infrastructure.
• Use analytical skills to turn data into information and information into knowledge is fundamental to this position.
• Support the team in the design and implementation of process improvements and introduction/operation of automated metrics generation.
The automation environment is a combination of a proprietary collection of applications, Jira, Smartsheet (being deprecated), Remedy and Excel documented in Lucidchart, PowerPoint and/or Word.
Easily accessible and understandable products such as status dashboards, data integrations, workflows, delivery metrics,
customer satisfaction reporting and efficacy reports for both near-real-time and trending-over-time intervals are the end goal.
• Operate automated report dissemination and notifications.
• Troubleshoot and escalate issues related to process and technology.
• Establishment of an effective feedback plan for the tools and processes used by the team.
• Visualize and document the execution of complex business processes.
• Perform data collection, analysis, and validation.
• Respond to data inquiries from various groups within an organization.
• Documents reporting requirements and processes and validates data components as required.

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