Operations Engineering Analyst - Midland, TX

ConocoPhillips is an independent exploration and production company operating globally in the energy industry. The Operations Engineering Analyst will transform operational data into insights, dashboards, analytics tools, and applications that improve safety, reliability, efficiency, and performance across Permian Production Operations.

What you'll do:

• 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

What they're looking for:

• 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
• 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

Benefits:

• Medical, dental, vision, mental health support, and wellness programs.
• Annual performance bonuses.
• 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.