IT Analytics Engineer

Job Summary

The IT Analytics Engineer develops data-driven solutions to unlock insights, automate processes, and ultimately improve business performance. This includes developing, maintaining, and optimizing enterprise datasets, dashboards, reports, and analytical tools. The IT Analytics Engineer will also leverage various Data Platform and Artificial Intelligence technologies to develop, train, and deploy agents to enhance productivity and unlock new capabilities for business users.

Duties and 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.

Skills and Competencies

- 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.

- Understands data modeling and data integration principles and techniques.

- Use SQL to retrieve data from systems, create integrated datasets using CTEs and/or subqueries, update data within systems, and create data tables and views within CLR’s data warehouse.

- 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.

- Meticulous approach to data accuracy, ensuring precision in data extraction, transformation, and loading processes.

- Understands E&P operations, drilling, completions, production, reservoir, and geoscience data types.

- 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.

Required Qualifications

- 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 projects, inherit and enhance existing projects, and create new projects from scratch, leveraging multiple data sources.

- An acceptable pre-employment background and drug test.

Preferred Qualifications

- Bachelor’s Degree from an accredited college or university in Management Information Systems, Computer Science, Data Analytics, or a related degree.

- Ability to create, maintain, and optimize data pipelines in Databricks.

- Basic to intermediate coding skills in Python.

- Familiarity with creating Databricks Genies.

- Familiarity with creating Glean Agents.

Physical Requirements and Working Conditions

- Requires prolonged sitting, some bending, and stooping.

- Occasional lifting up to 25 pounds.

- Manual dexterity sufficient to operate a computer keyboard and calculator.

Continental Resources, Inc. provides equal employment opportunities and access for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, national origin, age, disability, genetic information, veteran status, or any other category protected by law.