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 CLRs 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 Continentals 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

• 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

• Bachelors Degree from an accredited college or university in Management Information Systems Computer Science Data Analytics or a related degree.

• 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.

• 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.