IT Analytics Engineer at Continental Resources

Oklahoma City, Oklahoma, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Oil & Gas, EnergyIndustries

Requirements

High School Diploma or GED
Minimum of five (5) years’ experience within the Oil and Gas industry working as an Analytics Engineer, Data Engineer, Data Analyst, IT Analyst, or related role
Intermediate skills within SQL with the ability to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems, and create and manage data tables and views within Databricks
Intermediate skills within Spotfire and Power BI with the ability to use existing tools
Experience with BI tools (e.g., Spotfire, Power BI, Tableau, Looker) and cloud data platforms (e.g., Databricks, Snowflake)
Ability to navigate the data models of Continental’s primary data sources, including Aries, WellView, ProCount, SAP, Planning Analytics, eGIS, WLM, IHS and Enverus
Understands data modeling and data integration principles and techniques
Understands E&P operations, drilling, completions, production, reservoir, and geoscience data types
Self-starter with the ability to build and maintain cross-functional relationships
Advanced written and verbal communication skills; high degree of organizational awareness and attention to detail
Meticulous approach to data accuracy, ensuring precision in data extraction, transformation, and loading processes
Willingness to learn and adapt to new technologies, tools, and business processes in a dynamic industry environment
Ability to quickly break down business problems and requests into solvable components to deliver results efficiently
Ability to troubleshoot and optimize queries and datasets created by others
A mindset focused on using data to drive decision-making, improve operational efficiency, and support strategic initiatives
Ability to quickly adapt and exemplify flexibility around process changes and shifting priorities
Action-oriented - Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm
Instills trust - Gaining the confidence and trust of others through honesty, integrity, and authenticity
Drives results - Consistently achieving results, even under tough circumstances

Responsibilities

Design, build, and support scalable data pipelines that combine data from multiple sources, transform it into usable formats, and deliver it to business users to consume within BI tools, industry software, or on an ad-hoc basis
Rapid, hands-on development of new datasets & analytical solutions using SQL, Spotfire, and Power BI
Work with AI frameworks to develop, fine-tune, and deploy intelligent agents that automate tasks and deliver contextual insights
Collaborate with varying levels of engineers, geologists, and management to effectively gather data/reporting requirements and build analytical datasets, visualizations, and tools
Stay updated on industry trends, emerging technologies, and best practices in data engineering and analytics. Apply new knowledge to enhance the creation of standardized datasets and reports
Monitor, troubleshoot, and optimize data pipeline tasks to maximize performance
Document processes, data models, and agent behaviors to support transparency and scalability
Ensure data quality, integrity, and consistency across different sources and systems
Other duties as assigned