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Operational Data Analyst Jobs in Texas (NOW HIRING)

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

Private Equity Data Operations Analyst

Dallas, TX · On-site

  • Medical

  • Dental

  • Retirement

  • PTO

Job Summary LP Analyst is expanding its team of Private Equity Data Operations Analysts to support a growing client base. Analysts in this role play a key part in helping LP Analyst's clients gain ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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.

Data Analyst

Houston, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... This role partners closely with Finance, Operations, Sales, and project teams to define metrics ...

Data Analyst

Houston, TX

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... This role partners closely with Finance, Operations, Sales, and project teams to define metrics ...

Data Analyst

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... This role partners closely with Finance, Operations, Sales, and project teams to define metrics ...

... operational decision-making. Key Responsibilities * Collect, clean, and analyze healthcare data ... from multiple sources * Create and maintain reports and dashboards using Tableau, Power BI, or ...

Legal Data Analyst, Applied Data Science

Austin, TX

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this ...

Legal Data Analyst, Applied Data Science

Austin, TX

$175K - $263K/yr

  • Medical

  • Dental

  • Retirement

The Applied Data Science team within Legal Operations is building the data foundation that powers AI and analytics for a global legal organization. The Legal Data Analyst role is central to this ...

Data Analyst

Houston, TX · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... This role partners closely with Finance, Operations, Sales, and project teams to define metrics ...

Senior Data Analyst

Austin, TX · On-site

$85K - $107K/yr

Key Responsibilities Data Analysis, Quality, Testing & Operational Excellence • Analyze business data to support management, project teams, data product teams, business stakeholders, and senior ...

We are seeking a highly skilled and detail-oriented Data Analyst to support our consulting projects and operational functions. This role will focus on developing and managing work management ...

We are seeking a highly skilled and detail-oriented Data Analyst to support our consulting projects and operational functions. This role will focus on developing and managing work management ...

We are seeking a highly skilled and detail-oriented Data Analyst to support our consulting projects and operational functions. This role will focus on developing and managing work management ...

Data Analyst

Dallas, TX · On-site

$65K - $84K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Identify trends, patterns, anomalies, and areas of risk or improvement related to program performance and operations. * Prepare high-quality analytical reports, summaries, and data tables to support ...

Our culture is rooted in teamwork, resiliency, and integrity, with a deep commitment to operational ... The Data Analyst will be a key member of MP Magnetics analytics team. Position Responsibilities:

Showing results 21-40

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 17, 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 does an operational data analyst do?

An operational data analyst collects, analyzes, and interprets data related to business operations to identify trends, improve processes, and support decision-making. They often use tools like Excel, SQL, and data visualization software to create reports and dashboards, ensuring operational efficiency and effectiveness.

What is the salary of an operational data analyst vs operations analyst?

Operational Data Analysts typically earn a median salary ranging from $60,000 to $80,000 annually, depending on experience and location. Operations Analysts often have similar salaries, generally between $55,000 and $75,000, with variations based on industry and company size. Both roles require strong analytical skills and proficiency with data tools like Excel, SQL, or Tableau.

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.

Is an operational data analyst entry level?

An entry-level operational data analyst position typically requires minimal professional experience, often focusing on skills in data analysis tools like Excel, SQL, or Tableau. Many roles are suitable for recent graduates or those with 1-2 years of related experience, and some employers may offer on-the-job training or certifications to develop necessary skills.

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.
Infographic showing various Operational Data Analyst job openings in Texas 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 $76,992 per year, or $37 per hour.

Data Analyst III

Airswift

Midland, TX • On-site

Contractor

Re-posted 26 days ago


Job description

Our client, a major Oil and Gas company, is looking for a Data Analyst (Well Servicing Engineering Tech) to work on a 12 months contract in Midland, TX
Position Overview
The Well Servicing Engineering Technician / Data & Reporting Analyst plays a critical role in supporting Well Management Engineers, operations, and leadership through advanced data management, reporting, and analytics. This position is responsible for driving data governance, developing dashboards, and ensuring data integrity.
Key Responsibilities
  • Assist with data governance initiatives to ensure accuracy, consistency, and reliability of production and operational data across systems.
  • Design, develop, and maintain dashboards, reports, and interactive applications to support engineering, operations, and executive leadership.
  • Build and optimize reporting tools (e.g., Spotfire, Databricks apps) to significantly improve performance, usability, and accessibility of data.
  • Develop automated workflows and web-based tools that integrate directly with source systems to enhance self-service reporting capabilities.
  • Create and maintain data validation and QA/QC processes to improve reporting accuracy and reduce manual correction efforts.
  • Generate exception reports to identify and resolve data integrity issues across multiple platforms.
  • Write and maintain SQL queries for data extraction, transformation, and analysis.
  • Troubleshoot and resolve data issues across enterprise systems to support day-to-day operations.
  • Support system upgrades and enhancements (e.g., WellView, ), including testing, defect identification, and workflow improvements.
  • Partner with cross-functional teams including engineering, IT, operations, and vendors to drive continuous improvement initiatives.
  • Prepare and deliver reports, dashboards, and presentations for management, executives, and company-wide meetings.
  • Provide training, documentation, and user support to improve adoption and effective use of reporting tools and systems.
Core Competencies
  • Reporting & Analytics
  • Dashboard Development & Visualization
  • Data Validation, QA/QC, and Integrity Management
  • Business Analysis & Process Improvement
  • Workflow & System Optimization
  • Training & Documentation
Technical Skills - Preferred
  • Data & Querying: SQL, Databricks, Python
  • Visualization & Reporting: Power Bi
  • Oil & Gas Systems: WellView
  • Business & Operations Tools: ProCount, Execute
  • Productivity Tools: Microsoft Office Suite
Experience Preferred
  • 5+ years of experience supporting engineering, drilling, completions, or production operations, preferably within the oil & gas industry.
  • Proven experience in data governance, reporting, and analytics across multiple operational basins or business units.
  • Strong expertise in building dashboards, writing SQL queries, and managing large datasets.
  • Experience serving as a subject matter expert (SME) for data systems and reporting tools.
  • Demonstrated ability to improve processes, enhance data quality, and optimize workflows.
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