Novi Labs, Inc.
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.
Roundtables, expert workshops, small-group coaching, and more.
The Role: Reservoir Data & Analytics Advisor
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. Key Responsibilities
Technical Leadership
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.
Client Success & Strategic Partnership
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.
Innovation & Product Feedback
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.
Requirements
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 / DrillingInfo, IHS, WoodMac, 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. Preferred
Experience with REST APIs and ETL / ELT pipelines. Familiarity with AWS cloud services. Knowledge of "big data" practices for analytics and workflow automation. Culture Fit
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. Travel & Location
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). What We Offer
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.
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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. Key Responsibilities
Technical Leadership
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.
Client Success & Strategic Partnership
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.
Innovation & Product Feedback
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.
Requirements
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 / DrillingInfo, IHS, WoodMac, 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. Preferred
Experience with REST APIs and ETL / ELT pipelines. Familiarity with AWS cloud services. Knowledge of "big data" practices for analytics and workflow automation. Culture Fit
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. Travel & Location
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). What We Offer
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.
#J-18808-Ljbffr