Reservoir Engineering Data Analyst

Job Summary

The Reservoir Engineering Data Analyst provides data-driven insights and solutions to support the reservoir engineering team and other stakeholders across the organization. This includes retrieving, analyzing, and visualizing data; developing and maintaining analytical tools, dashboards, and custom datasets; and automating business processes.

Duties and Responsibilities

- Collaborates with varying levels of reservoir engineers, Petrotechnical professionals, financial professionals, and management to effectively gather requirements and build complex datasets, visualizations, analytical tools, and reports.

- Identifies and troubleshoots data issues across systems and drives issues to resolution.

- Develops, maintains, and enhances business intelligence tools in Spotfire and Power BI that are critical to business needs.

- Implements automated solutions to streamline processes.

- Performs data capture processes as necessary to support analytical efforts.

- Uses SQL to retrieve data from systems, creates integrated datasets using CTEs and/or subqueries, updates data within systems, and creates data tables and views within Databricks.

- Uses Spotfire to enhance existing projects and create new projects using data from a variety of sources across the enterprise.

- Other duties as assigned.

Skills and Competencies

- Problem solver capable of anticipating engineering requirements and proactively recommending solutions and data-driven insights.

- Advanced understanding of reservoir engineering concepts, economic evaluation, A&D projects, oil and gas financial processes, and oil and gas operations.

- Comprehensive skills with data & analytics applications.

- Strong programming skills capable of retrieving data using advanced techniques.

- Familiarity with the data models of Continental’s primary data sources including Aries, ProCount, SAP, Planning Analytics, eGIS, and WellView.

- Understands basic data modeling and data integration principles and techniques.

- Detail-oriented with the ability to organize and synthesize large amounts of data to generate executive-quality presentations in an efficient manner.

- Demonstrates strong initiative and customer service attitude with the ability to work as part of a team or individually.

- Advanced written and verbal communication skills.

- Ability to quickly adapt and demonstrate flexibility around process changes and shifting priorities.

Required Qualifications

- Minimum five (5) years of experience in the oil and gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, or related role.

- Experience in Aries or other Economic Evaluation software with a thorough understanding of economic engine and data streams.

- Intermediate skills within Spotfire with a strong understanding of complex data ingestion, manipulation, and basic scripting within the software.

- Intermediate to advanced skills within SQL with the ability to retrieve data from relational databases, create integrated datasets using CTEs and/or subqueries, and create data tables and views within Databricks.

- An acceptable pre-employment background and drug test.

Preferred Qualifications

- Bachelor’s Degree from an accredited college or university in Management Information Systems, Data Analytics, Information Science/Management, Economics, Finance, Accounting, or related degree.

- Prior experience working with Databricks, Snowflake, or other data platforms.

- Advanced SQL skills.

- Advanced Spotfire skills.

- Basic to intermediate skills in Power BI.

- Basic coding skills in Python or R.

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.