Sr. Operations Data Analyst

USA Compression; Dallas (TX); On-site; USD 70,000 - 110,000; Full time

Job summary

USA Compression Partners, LP is seeking an Operations Data Analyst to join a collaborative analytics team. You will partner with stakeholders to identify business needs, transform data, and develop dashboards and applications primarily using Databricks.

The role touches financial, accounting, safety, fleet, and operations data including SAP. The position requires 2+ years in data analytics or BI, strong dashboard skills, and experience in an Agile environment.

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• 2+ years of data analytics or BI experience.
• Skilled in dashboards and data visualizations.
• Ability to translate requirements into deliverables.
• Strong testing and validation of data and dashboards.
• Clear written and verbal communication.
• Attention to detail and independent work ethic.
• Ability to collaborate in an Agile environment.

Responsibilities

• Partner with managers and stakeholders to identify needs and improvements.
• Translate requirements into features, user stories, and data needs.
• Design dashboard concepts and review prototypes.
• Onboard new data sources via APIs and ETL/ELT processes.
• Use Python, PySpark, and SQL in Databricks to transform data.
• Build Bronze, Silver, and Gold data layers.
• Develop dashboards and low-code internal applications.
• Perform QA, UI testing, and validate results.
• Support deployments and post-release checks.
• Collaborate with operations and data teams.

Skills

Data analytics

Business intelligence

Dashboard development

Requirements gathering

Testing data

Communication skills

Independent worker

Team collaboration

Agile

Education

Bachelor's degree or equivalent

Tools

Python

PySpark

SQL

Databricks

Job description

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.

Required experience is commensurate with the selected job level:

• The Operations Data Analyst level requires a Bachelor’s degree or equivalent experience and 2-5 years of relevant job related experience
• The Senior Operations Data Analyst level requires a Bachelor’s degree or equivalent experience and 5-8 years of relevant job related experience
• The Lead Operations Data Analyst level requires a Bachelor’s degree or equivalent experience and 8+ years of relevant job related experience

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.