Quantitative Analyst (Energy Markets & Innovation)

Tenaska•Omaha, NE

1d•Onsite

About The Position

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.

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

Nice To Haves

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)
Strong skills in applied computational mathematics, optimization, and simulation programming
Experience in artificial intelligence and agentic system development
Experience with data visualization tools and platforms such as Tableau, Power BI, and/or Plotly Dash
Advanced Microsoft Excel user with strong command of its capabilities
Progressive, creative problem solver with a forward-thinking mindset
Ability to manage, prioritize, and execute multiple projects simultaneously
Strong communication and interpersonal skills, with the ability to collaborate effectively across diverse groups and organizational levels
Demonstrated leadership with the ability to teach, mentor, and develop others

Responsibilities

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