Engineering Support Supervisor

Job Summary

The Engineering Support Supervisor role manages a team of data analysts and engineering techs who primarily supports a completions engineering / operations team.

This role is responsible for leading projects to automate manual processes and produce data driven insights for the team and other stakeholders across the organization.

A successful candidate will act with autonomy to actively seek out and generate new and innovative ways to retrieve, visualize and analyze data across a variety of operational, geological and financial data sources.

First-line supervisory level leading an individual or single work group in supporting and servicing the day-to-day activities.

Accountable for the results of an individual team's performance. Assesses and forecasts strategic work plans for immediate work group;

may recommend resolutions for strategic issues to direct manager. Strong knowledge in own area of functional responsibility.

Resolves operational problems within provided guidelines; follows established practices and procedures in analyzing situations or data from which answers can be readily obtained.

Interacts daily with direct reports and / or functional peer groups. Strong sense of teamwork and ability to develop collaborative relationships across teams and departments.

Duties and Responsibilities

• Supervise a team data analysts and engineering techs
• Prioritize analyst team workload and provide additional technical support when necessary
• Acts as business liaison and project manager across the organization
• Coordinate with peers in alternative asset teams to provide corporate alignment on various processes such as type curves, capex modeling, reserves, budget, etc.
• Data expert on projects; provides guidance for and leads data & analytics initiatives across the team, department and company
• Discovers and troubleshoots data issues across sources and drives issues to resolution
• Create highly complex datasets, visualizations and tools
• Spends significant time mentoring, training, and sharing knowledge across the team, department and company as it relates to data and analytics
• Works closely with IT leadership to develop strategies and plans to mature and advance data & analytics capabilities across CLR
• Advises on and recommends data & analytics software improvements; performs testing and sign off for enhancement projects
• Collaborates with varying levels of engineers, geologists and management to effectively gather data / reporting requirements and build analytical datasets, visualizations and tools
• Owns, maintains and enhances critical business intelligence applications and tools that are used to run the business
• Assists management in compiling quarterly and Board of Director meeting materials
• Implements automated solutions to streamline manual team processes
• Performs and automates data capture processes as necessary to support analytics efforts
• Personal commitment to inclusion and diversity
• Other duties as assigned.

Skills and Competencies

• Self-starter, with ability to build cross-functional relationships and lead a team
• 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
• Use Spotfire to enhance existing projects and create new projects from scratch using data from a variety of sources across the enterprise
• Implement automated solutions for manual workflows
• Understands or is able to learn the data models of Continental’s primary data sources including Aries, WellView, ProCount, SAP, Planning Analytics, eGIS, WLM, IHS and Enverus.
• Understands basic data modeling and data integration principles and techniques
• Detail oriented with ability to organize and synthesize large amounts of data to generate high-quality, executive-level quality presentations in an efficient manner
• Understands E&P operations, drilling, completions, production, reservoir and geoscience data types
• Advanced written and verbal communication skills
• Ability to quickly adapt and exemplify flexibility around process changes and shifting priorities
• Expert skills with data & analytics applications
• Expert knowledge of data modeling and data integration principles and techniques
• Considered programming expert; troubleshoot and optimize queries and datasets created by others
• Comprehensive knowledge and experience with coding languages
• 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
• Ensures accountability - Holding self and others accountable to meet commitments
• Drives results - Consistently achieving results, even under tough circumstances
• Nimble learning - Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder

Required Qualifications

• High School Diploma or GED
• Minimum of five (5) years’ experience within the Oil and Gas industry working as a Data Analyst, Engineering Tech, Engineering Specialist, Business Analyst, Systems Analyst, IT Analyst or related role
• Expert skills within Spotfire or similar BI tool with the ability to use existing projects, inherit and enhance existing projects and create new projects from scratch leveraging multiple data sources
• Expert 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 data tables and views within CLR’s data warehouse.
• 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
• Experience supervising a team of data professionals.
• Expert in developing automated workflows using UiPath, Grooper, FME, Alteryx, and / or similar applications.
• Working knowledge of coding as it pertains to this role.

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.
30+ days ago