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Operational Data Analyst Jobs in Texas (NOW HIRING)

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 ...

Operations Data Analyst

Frisco, TX · Hybrid

$67K - $101K/yr

A role you will love As a Data Analyst - Operational Performance, you'll partner closely with Operations leaders and executive stakeholders to turn data into insight and action. This role goes beyond ...

Operations Data Analyst

Frisco, TX · On-site

$67K - $101K/yr

A role you will love As a Data Analyst - Operational Performance, you'll partner closely with Operations leaders and executive stakeholders to turn data into insight and action. This role goes beyond ...

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.

You will partner with operational, data science, data engineering, and product teams globally to ... Data Analyst, Global Operations Responsibilities: * Partner with operations, data science ...

The team is seeking a data analyst who will analyze operational data, track the Quality of Experience, and identify problems with the system to ensure an optimal user experience. This person will ...

Data Analyst

Austin, TX · On-site

$90 - $130/hr

The team is seeking a data analyst who will analyze operational data, track the Quality of Experience, and identify problems with the system to ensure an optimal user experience. This person will ...

New

The team is seeking a data analyst who will analyze operational data, track the Quality of Experience, and identify problems with the system to ensure an optimal user experience. This person will ...

Data Analyst

Austin, TX · On-site

$90 - $130/hr

The team is seeking a data analyst who will analyze operational data, track the Quality of Experience, and identify problems with the system to ensure an optimal user experience. This person will ...

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 ...

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 ...

Business Data Analyst I

Northlake, TX · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... This is your chance to be at the heart of operations, influencing strategy and performance in a ...

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... This is your chance to be at the heart of operations, influencing strategy and performance in a ...

... operations, and leadership through advanced data management, reporting, and analytics. This ... position is responsible for driving data governance, developing dashboards, and ensuring data ...

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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 Aug 30, 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 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 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 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 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.

Is an operational data analyst entry-level?

An operational data analyst role can be entry-level or require some experience, depending on the company. Entry-level positions typically require basic skills in data analysis tools like Excel or SQL and may offer on-the-job training. More advanced roles may require prior experience or certifications in data analysis or related fields.
Infographic showing various Operational Data Analyst job openings in Texas as of August 2026, with employment types broken down into 92% Full Time, 4% Temporary, and 4% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $76,992 per year, or $37 per hour.

Full-time

Re-posted 16 days ago


Job description

Company Description

360 IT Professionals is leading name in the software development industry, bring innovative business solutions to clients in Silicon Valley. We are always looking forward to bring aboard IT professionals and help them build a career in the IT Industry by providing the opportunity to work with our top clients in US.

Job Description

A Data Analyst with strong Analytics background to support Corporate Sales Reporting and Analytics needs. 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 sustainable revenue and growth. Data Analyst will be responsible for driving data driven insights from operational data (booked, flown, contract and sales team metrics from Salesforce, Customer data including segmentation and other marketing elements, potentially forecasting information from Corp Sales and Revenue Management, etc.) This role requires business intuition, project management experience, and a working knowledge of analytical tools.

Partners with operational business stakeholders to identify key initiatives and execute solutions to business problems using data analysis and advanced analytics
Extracts data from a variety of sources for use in analysis, models and project development; completes ad-hoc reporting and data analysis
Communicates and coordinates frequently with business stakeholders and technology teams
Develops and validates evaluation metrics, KPIs, Targets, Reports and models to analyze business performance and areas of opportunity

Qualifications

Requirements:
Bachelor's degree in quantitative field (statistics, engineering, business analytics, computer science, information systems or related degree)
Passionate about data analytics, strong strategic and critical thinking, problem-solving skills
Experience working with large datasets and reporting or visualization tools, ability to tell a story using data
Experience with Airline Corporate Sales and operations
Ability to proactively manage stakeholder expectations on current and future business needs
Ability to communicate complex quantitative concepts in a clear, precise and actionable manner
Familiarity with database interface tools, SQL and programming concepts
Experience with statistical tools and concepts (R, SPSS, SAS)
Preferred skill set:
Experience with Oracle/Exadata, Teradata, AWS Redshift/Hadoop, Splice open source data platforms
Experience with Business Objects-Crystal Reports or Ab Initio for reporting
Experience with Tableau, Spotfire, Alteryx or other visualization tools
Experience with statistical analysis and modeling including linear regression, segmentation, non-linear predictive (e.g. logistic) regression and machine learning

Additional Information

All your information will be kept confidential according to EEO guidelines.