Operations Engineering Analyst - Midland, TX

ConocoPhillips • Midland, TX

4d • Onsite

About The Position

At ConocoPhillips, the Lower 48 segment consists of operations located in the 48 contiguous U.S. states, with a portfolio mainly consisting of low cost of supply, short cycle time, resource-rich unconventional plays and commercial operations. The majority of our acreage is unconventional. Based on 2025 production volumes, the Lower 48 is our largest segment and contributed 67 percent of our consolidated liquids production and 74 percent of our consolidated natural gas production. In 2025, net production averaged 1,484 MBOED.

The Operations Engineering Analyst turns complex operational data into clear insights that improve safety, reliability, and performance across Permian Production Operations. In practice, that means finding the data, building and maintaining the dashboards, visualizations, analytics tools, and applications leaders rely on, and adapting quickly as systems, priorities, and questions change. We welcome candidates with strong data analytics experience from any industry.

Success in this role shows up in ways that matter. Leaders rely on clear insights that help them make faster, more confident decisions. Data becomes something the organization trusts and uses to improve safety, efficiency, and reliability. Workflows run smoother because the right information is available at the right time. Most importantly, both field and office teams see this analyst as a dependable partner who helps solve problems and uncover opportunities.

Open to varied experience levels. Scope and complexity of assignments will align with skills and background.

Requirements

• Must be legally authorized to work in the United States
• Experience integrating data from at least two source systems into a single dataset for reporting, analysis, or operational decision-making purposes
• Experience performing data preparation activities including data joins, cleansing, validation, or transformation prior to creating reports or dashboards
• Experience working with large datasets or operational systems, including analyzing, querying, validating, or reporting on business or operational data
• Experience using AI tools to support analytical work, including at least one of the following: Query or code generation, Query or code troubleshooting, Data summarization, Documentation generation, Process automation
• Demonstrated ability to independently build and maintain dashboards, including: Connecting to data sources, Creating data models or relationships, Developing calculations, measures, or business logic, Publishing and maintaining dashboards for end users
• Experience using at least one business intelligence or data visualization platform, such as Power BI (preferred), Spotfire, Tableau, Qlik, or Looker
• Demonstrated ability to learn and apply new software, systems, reporting tools, or business processes with limited direction

Nice To Haves

• Bachelor's degree in Data Science, Computer Science, MIS, Engineering, or related technical field.
• Experience building solutions across the Microsoft Power Platform (Power BI, Fabric, Power Apps, Power Automate).
• Experience using SQL, Python, or similar languages to query and manipulate data.
• Experience accessing data through Snowflake or other enterprise data warehousing solutions.
• Experience improving data workflows, automating processes, or supporting data-driven initiatives.
• Experience communicating analytical findings and recommendations to business stakeholders.
• Experience partnering with cross-functional teams to deliver reporting or analytical solutions.
• Understanding of HSE, engineering, maintenance, or field operations concepts.

Responsibilities

• Retrieve data directly from source systems and the data warehouse, including writing and tuning your own queries
• Build and maintain data visualizations and dashboards to track production, downtime, efficiency, and operational trends
• Translate data findings into clear insights that support day-to-day and long-term operational decisions
• Improve data accuracy, consistency, and usability across operational datasets
• Support smooth data flow between systems, field data capture platforms, and internal reporting tools
• Partner with Operations, Engineering, HSE, Supply Chain, IT, and field teams to understand needs and deliver practical solutions
• Help strengthen digital workflows and analytics capabilities across the organization
• Support rollout processes for tools and dashboards, including education and support of end users
• Help with the administration of key applications, systems, and dashboards
• Identify trends, gaps, and improvement opportunities that enhance operational performance
• Support projects focused on data integration, workflow improvements, and analytics modernization
• Continuously adapt to the ever-changing AI landscape and leverage AI tools to enhance the support provided to the organization

Benefits

• Medical, dental, vision, mental health support, and wellness programs.
• Competitive base pay, annual performance bonuses, and retirement savings plans.
• Paid time off, paid parental leave, and family support resources.
• Access to training, mentoring, and internal career mobility tools.
• Peer-nominated awards, inclusive culture, and employee resource groups.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level