Operations Analyst Jobs in Dallas, TX
Operations Analyst jobs in Dallas are in strong demand, with roles concentrated in Uptown, the Telecom Corridor in Richardson, and the Las Colinas business district across logistics, financial services, healthcare operations, and energy. Employers hiring right now include G MASS, Uber, and Augmentis. Scan the live roles below and apply to whichever ones fit.
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Showing 5 of 199+ Operations Analyst jobs
USA Compression Partners, LP, (NYSE: USAC) provides mission-critical natural gas compression services to large upstream and midstream energy companies. We are an operations-centric, technology-driven employer with 800+ employees in 18 states across the US. We owe our success to the quality of our employees, our strong commitment to safety, and our superior service to our customers.
Position Overview
This is an opportunity to play a key role in a small, collaborative team that supports the full analytics lifecycle. You will partner with stakeholders to identify business needs and improvement opportunities, prepare and transform data, and develop, test, support, and deploy dashboards and applications, primarily through Databricks. The team works across financial, accounting, safety, fleet, and operational data, including SAP, to support USA Compression's operations leadership, improve processes, and drive value through data and technology.
Key Responsibilities
Business Analysis
Partner with cross-functional managers, directors, and stakeholders to identify business needs, opportunities, and process improvements.
Turn requirements into features, user stories, acceptance criteria, and data needs.
Design dashboard concepts, review prototypes, and incorporate feedback.
Explain technical options, risks, and dependencies in business terms.
Development
Onboard new data sources and connect through APIs or other ingestion methods using ETL/ELT processes.
Use Python, PySpark, and SQL in Databricks to clean, validate, join, and transform data.
Build Bronze, Silver, and Gold data layers.
Develop dashboards and low-code internal applications.
Create maintainable code and documentation using team standards.
Quality Assurance
Test data transformations, business rules, dashboards, and applications.
Perform UI testing for dashboards and applications, including layout, navigation, controls, filters, and user interactions.
Validate counts, joins, calculations, filters, edge cases, and source-to-target results.
Perform regression testing and confirm acceptance criteria before release.
CI/CD and Deployment
Prepare and deploy notebook, data, dashboard, and application changes.
Validate releases across environments and complete post-deployment checks.
Document issues and support rollback or remediation when needed.
Support
Liaise with operations team as needed to facilitate dashboards, applications, and data questions.
Troubleshoot data issues, identify root causes, and communicate resolutions.
Document recurring issues and recommend improvements.
Planning and Backlog
Participate in an Agile development process, including sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives.
Keep future work prioritized and ready for development and testing.
Required Qualifications
Bachelor's degree in Business Administration, Information Systems, Computer Science, Mathematics, or equivalent experience.
2+ years of experience in data analytics, business intelligence, or a similar role.
Skilled in developing dashboards, reports, or other data visualizations.
Ability to gather requirements and translate them into deliverable features.
Proficiency in testing data, dashboards, or applications.
Strong written and verbal communication skills, including communication of progress reports, risks, blockers, and decisions.
Detail-oriented and focused on accurate, high-quality work.
Able to work independently and deliver accurate, reliable solutions.
Follows development, documentation, testing, and deployment standards.
Ability to collaborate closely with the team.
Preferred Qualifications
Python, PySpark, SQL, Databricks, or similar technologies.
Knowledge of data transformation and medallion architecture.
Familiarity with source control, CI/CD, and release practices.
Knowledge of financial, accounting, safety, vehicle and fleet, or operational data.
Familiarity with SAP-sourced data or low-code platforms.
Knowledge of energy, industrial, or field-service analytics.
Identify opportunities for process optimization and continuous improvement through data, automation, and technology.
Ability and willingness to identify opportunities to leverage AI to improve analytics, processes, and decision-making.
USA Compression Partners, LP, (NYSE: USAC) provides mission-critical natural gas compression services to large upstream and midstream energy companies. We are an operations-centric, technology-driven employer with 800+ employees in 18 states across the US. We owe our success to the quality of our employees, our strong commitment to safety, and our superior service to our customers.
Position Overview
This is an opportunity to play a key role in a small, collaborative team that supports the full analytics lifecycle. You will partner with stakeholders to identify business needs and improvement opportunities, prepare and transform data, and develop, test, support, and deploy dashboards and applications, primarily through Databricks. The team works across financial, accounting, safety, fleet, and operational data, including SAP, to support USA Compression's operations leadership, improve processes, and drive value through data and technology.
Key Responsibilities
Business Analysis
Partner with cross-functional managers, directors, and stakeholders to identify business needs, opportunities, and process improvements.
Turn requirements into features, user stories, acceptance criteria, and data needs.
Design dashboard concepts, review prototypes, and incorporate feedback.
Explain technical options, risks, and dependencies in business terms.
Development
Onboard new data sources and connect through APIs or other ingestion methods using ETL/ELT processes.
Use Python, PySpark, and SQL in Databricks to clean, validate, join, and transform data.
Build Bronze, Silver, and Gold data layers.
Develop dashboards and low-code internal applications.
Create maintainable code and documentation using team standards.
Quality Assurance
Test data transformations, business rules, dashboards, and applications.
Perform UI testing for dashboards and applications, including layout, navigation, controls, filters, and user interactions.
Validate counts, joins, calculations, filters, edge cases, and source-to-target results.
Perform regression testing and confirm acceptance criteria before release.
CI/CD and Deployment
Prepare and deploy notebook, data, dashboard, and application changes.
Validate releases across environments and complete post-deployment checks.
Document issues and support rollback or remediation when needed.
Support
Liaise with operations team as needed to facilitate dashboards, applications, and data questions.
Troubleshoot data issues, identify root causes, and communicate resolutions.
Document recurring issues and recommend improvements.
Planning and Backlog
Participate in an Agile development process, including sprint planning, backlog refinement, daily stand-ups, reviews, and retrospectives.
Keep future work prioritized and ready for development and testing.
Required Qualifications
Bachelor's degree in Business Administration, Information Systems, Computer Science, Mathematics, or equivalent experience.
2+ years of experience in data analytics, business intelligence, or a similar role.
Skilled in developing dashboards, reports, or other data visualizations.
Ability to gather requirements and translate them into deliverable features.
Proficiency in testing data, dashboards, or applications.
Strong written and verbal communication skills, including communication of progress reports, risks, blockers, and decisions.
Detail-oriented and focused on accurate, high-quality work.
Able to work independently and deliver accurate, reliable solutions.
Follows development, documentation, testing, and deployment standards.
Ability to collaborate closely with the team.
Preferred Qualifications
Python, PySpark, SQL, Databricks, or similar technologies.
Knowledge of data transformation and medallion architecture.
Familiarity with source control, CI/CD, and release practices.
Knowledge of financial, accounting, safety, vehicle and fleet, or operational data.
Familiarity with SAP-sourced data or low-code platforms.
Knowledge of energy, industrial, or field-service analytics.
Identify opportunities for process optimization and continuous improvement through data, automation, and technology.
Ability and willingness to identify opportunities to leverage AI to improve analytics, processes, and decision-making.
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Find Operations Analyst JobsOperations Analyst Job Market in Dallas
Who's Hiring
- G MASS21G
- Uber14
- Augmentis14A
- Goldman Sachs14
- DSV7
Top Industries Hiring
- Insurance
- Food & Beverage
- Investment & Asset Management
Operations Analyst Jobs in Dallas: Frequently Asked Questions
How do I get a operations analyst job in Dallas?
Focus your search on Dallas's strongest hiring sectors: financial services firms in Uptown, logistics and supply chain companies near the DFW Metroplex corridor, and healthcare systems concentrated in the Medical District. Employers here respond well to candidates with SQL, process improvement, or ERP system experience. Tailoring your resume to show measurable operational outcomes, such as cost reductions or workflow efficiency gains, gives you a clear edge in Dallas's competitive market.
Which companies hire operations analysts in Dallas?
Companies currently hiring operations analysts in Dallas include G MASS, Uber, and Augmentis, per current listings on Migrate Mate as of September 2026. Dallas attracts a wide mix of large corporate headquarters, regional logistics operators, and fast-growing fintech and healthcare companies, all of which routinely staff operations analyst roles.
Are there remote operations analyst jobs in Dallas?
Yes, though availability depends on the role. Operations analysts focused on data reporting, forecasting, or systems analysis tend to be more remote-friendly, while roles tied to physical operations, warehousing, or on-site process management typically require in-person presence. About 75% of operations analyst openings tied to Dallas are remote or hybrid as of September 2026, with hybrid arrangements most common among financial services and tech employers in Uptown and Las Colinas.
How can I get a operations analyst job in Dallas with little or no experience?
The most realistic entry path in Dallas is targeting coordinator or analyst associate roles at mid-size logistics companies near the DFW Metroplex corridor or back-office operations teams at regional banks and insurance firms in Uptown. Internships with Dallas-based healthcare systems like UT Southwestern or Baylor Scott and White also provide strong footholds. Proficiency in Excel, basic SQL, or process mapping tools makes entry-level candidates noticeably more competitive with local employers.
Which industries hire the most operations analysts in Dallas?
Dallas operations analyst roles concentrate in Insurance, Food & Beverage, and Investment & Asset Management, based on current listings on Migrate Mate as of September 2026. Dallas's position as a major logistics hub, its dense cluster of financial and insurance headquarters, and its large healthcare infrastructure all create sustained, year-round demand for operations analysts across those sectors.
See All 199+ Operations Analyst Jobs in Dallas
Find roles in Dallas that match your experience and apply in just a few clicks.
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