Quantitative Analyst; Energy Markets & Innovation

Quantitative Analyst (Energy Markets & Innovation)

Job Category
:
Corporate

Requisition Number
: QUANT
001891

• Posted :
  April 30, 2026
• Full-Time
• On-site

Showing 1 location

Omaha, NE 68154, USA

Job Summary
:

Tenaska Marketing Ventures (TMV) is seeking a highly analytical and technically skilled Quantitative Analyst to join our team in Omaha, NE. The Quantitative Analyst supports the Business Optimization & Innovation team’s mission to drive process improvement by identifying inefficiencies, finding creative solutions, and leading change initiatives that generate measurable results and long-term business value. This role manages complex, long-term projects focused on creating new value and competitive advantage for the organization.

Leveraging strong quantitative and analytical skills, the Quantitative Analyst helps empower highly experienced natural gas professionals – industry leaders at the top of their field – to operate more efficiently, effectively, and intelligently. The Quantitative Analyst will work closely with Enterprise Technology and other departments to ensure best practices, data integrity, and security compliance.

This is a high-impact role that blends deep technical problem-solving with close collaboration across the business to transform complex challenges into scalable, data-driven solutions.

Location
:
Onsite in Omaha, NE

Essential Job Functions
:

• Lead innovative, technical 0-to-1 design and development of models, simulations, and analytics that enhance optimization of transport and storage components within the natural gas value chain
• Apply first-principles thinking, curiosity, and humility to deeply understand complex business challenges and translate them into analytical solutions
• Collaborate cross-functionally with Enterprise Technology, product owners, and business stakeholders, building and maintaining trusted relationships that enable successful outcomes
• Develop and maintain a roadmap that balances long-term vision with incremental value delivery, including effective sequencing and prioritization to evolve prototypes into production-ready products
• Build trust and adoption by delivering exceptional customer support for products, ensuring business users feel confident in adopting and applying new solutions
• Navigate ambiguous problem spaces and independently drive toward results with limited guidance
• Support initiatives across the full project lifecycle – from concept through implementation – ensuring clear requirements, thoughtful evaluation of operational risks and business value, and on-time delivery
• Test and validate upcoming product releases to ensure smooth and reliable deployment to users
• Become immersed in the business to develop a deep understanding of user needs, operational challenges, and pain points

Basic Requirements:

• Bachelor’s or Master’s degree in Quantitative Discipline (e.g. Data Science, Mathematics, Quantitative Analysis, Machine Learning, Business Analytics, Financial Engineering)
• Minimum of 2 years of experience applying analytical and problem‑solving skills in a dynamic, unstructured environment
• Entrepreneurial mindset with a strong sense of ownership—sets goals, drives outcomes, and proactively delivers solutions that create value; motivated to contribute in any capacity that supports team success
• Proficiency with Microsoft Office applications (Outlook, Excel, Word, PowerPoint)
• Proficiency in at least one analytical or scripting language (e.g., Python, MATLAB, R) and SQL, with demonstrated ability to write maintainable, testable, and efficient code in an enterprise environment
• Experience applying graph data structures and algorithms in analytical or operational contexts

Preferred Requirements
:

• Strong understanding of business processes and organizational landscape
• Experience in business intelligence, operational analytics, and/or predictive analysis
• Experience with energy commodities, trading practices, supply chain logistics, and/or financial derivatives and options, with a demonstrated ability to deliver advanced analytical solutions in these domains
• Experience with graph theory, knowledge graph architecture, and related tools (e.g., Memgraph, Neo4j, Cypher)
• Stro…