Reservoir Data & Analytics Advisor

Accurate Insights for Smarter Energy Investments

Oil & gas forecasting with proprietary data

Energy research with actual, not estimated, data.

Energy Analytics:
Empowering E&P Operators, Analysts & Investors

Ask questions, share resources, and discuss hot topics with your peers.

Round tables, expert workshops, small-group coaching, and more.

As a Reservoir Data & Analytics Advisor, you will bridge reservoir engineering expertise with advanced data science and analytics to help clients maximize the value of Novi’s solutions. This is a client-facing technical role where you will:

• Serve as a trusted technical advisor to leading operators and investors.
• Guide clients in using Novi’s AI-driven tools to improve development planning, reserves assessment, and production optimization.
• Drive adoption of Novi’s data platforms by delivering insights that influence high-stakes capital allocation decisions.
• Collaborate across internal teams (engineering, data science, sales, product) to continually enhance both client outcomes and Novi’s offerings.

This role is ideal for a reservoir or production engineer looking to grow into the next generation of energy analytics, blending petroleum expertise with applied AI.

• Advise clients on integrating Novi’s data solutions into their workflows to improve productivity, reduce costs, and guide strategic decisions.
• Troubleshoot and resolve client challenges, coordinating with engineering and product teams to ensure rapid and effective solutions.
• Act as a domain expert in unconventional resources, helping clients translate raw data into actionable reservoir insights.

• Deliver high-impact training workshops, product deep-dives, and technical enablement sessions.
• Develop tailored account strategies to expand adoption and ensure measurable business value.
• Build strong relationships with engineers, managers, and executives across client organizations.

• Share client insights and workflow needs with Novi’s product team to drive innovation.
• Communicate platform enhancements, new use cases, and measurable outcomes back to clients.
• Stay current on oil & gas trends, data sources, and technologies to help shape best practices in digital reservoir engineering.

• Bachelor’s degree in Petroleum Engineering, Geoscience, Data Science, or a related technical field.
• Minimum 1 year of experience in Unconventional Resources as a Reservoir, Production, Completions, or Geoscience professional.
• Proficiency in Python and SQL for data manipulation, statistical analysis, and visualization.
• Proven experience building analytical datasets and working with time-series production and completion data.
• Strong skills in manipulating and joining large datasets (e.g., public & proprietary data, state databases).
• Experience with third-party data sources (e.g., Novi, Enverus/Drilling Info, IHS, Wood Mac, RSEG).
• Hands-on experience with oil & gas software (e.g., Novi, Spotfire, ARIES, ArcGIS).
• Excellent written and verbal communication skills, with the ability to explain technical concepts to diverse audiences.
• Strong organizational skills, able to manage multiple projects and priorities independently.

• Experience with REST APIs and ETL/ELT pipelines.
• Familiarity with AWS cloud services.
• Knowledge of “big data” practices for analytics and workflow automation.

You’ll be a great fit if you:

• Enjoy working on a small, highly collaborative team.
• Thrive in cross-functional projects that combine engineering, data, and business outcomes.
• Value clear communication and can influence through well-reasoned ideas.
• Are motivated by solving complex problems that impact billions of dollars in energy investment.

• Willingness to travel up to 25% for client workshops, strategic engagements, and project kickoffs.
• Remote role, with preference for candidates located in Austin, TX (Novi HQ).

• A professional, collaborative environment with a focus on work/life balance.
• Flexible leave policy.
• Health, dental, and vision insurance.
• 401K.
• Stock options.
• The opportunity to transform the future of energy analytics while growing your own career at the intersection of reservoir engineering and AI.