Natural Gas Intelligence · 8 hours ago

Senior Technical Product Manager, Data & Analytics

United States

Full-time

Remote

Senior Level

7+ years exp

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EnergyService Industry

Hiring Manager

Phaedra Friend

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Responsibilities

Develop new revenue-supported tools and analytics products related to energy pricing, fundamentals, and market insights

Dive deep into all data sources and current analyses to determine best practices for process improvement, business continuity, and productization

Support product enhancement processes, working cross-functionally to drive project management, market engagement, technical development, and sales enablement

Gather, consolidate, and validate data from internal, 3rd party, and public data sources

Work with our technology teams to ensure well documented and reliable movement of data from source to product

Maintain data sources to feed analytics and products, ensuring data quality control processes are performed

Integrate advanced analytics techniques, such as machine learning, AI, and optimization into analytics solutions

Communicate on a technical level with technology and analytics teams and deliver high level understanding to leadership, sales, and marketing teams

Serve as a subject matter expert for NGI’s technical products, able to present to clients/prospects and engage the broader market

Create and maintain documentation related to products and processes

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Data & Analytics SolutionsETLSQLPythonPower BIExcelMachine LearningAdvanced AnalyticsEnergy Data & AnalyticsCloud Computing ServicesObject Oriented ProgrammingBig DataForecasting

Required

Bachelor’s degree or above in economics, computer science, mathematics, technology or other quantitative discipline

7+ years of experience building and maintaining technical data & analytics solutions

Exceptional analytical, problem-solving, and communication skills

Experience supporting data lifecycles, from ETL to advanced analytics and end-user delivery with expertise in at least one stage

Competency with the languages and tools used in modern data & analytics solutions (SQL, Python, Power BI, Excel, or similar)

Motivation to change and improve existing processes, strong attention to detail and ability to work effectively as a member of a team, independently or as the coach

Ability and willingness to adapt to new challenges and a dynamic work environment with shifting priorities

Curious mind, driven by accuracy, and a passion for lifelong learning