Vistra is looking to transform raw energy market and customer data into strategic, automated insights that drive millions in revenue impact while democratizing data access across the organization through natural language querying, self-service dashboards, bespoke analysis, and machine learning.
Requirements
- Extensive experience in analyzing large volumes of data using Python, SQL, SAS, R or similar programming languages.
- Experience using Power BI or Tableau for data visualization.
- Exposure to GenBI and the ability to build it from the ground up.
- Demonstrated expertise building production dashboards in Power BI or Tableau for executives and audience personas across the organization.
- Exposure to and hands-on experience with generative BI/AI-enhanced analytics tools (e.g. Power BI Copilot, Tableau Pulse, or similar platforms) including natural language query design and automated insight configuration preferred.
- Web analytics experience with working knowledge of web analytics tools such as Adobe or Google Analytics.
- Hands-on experience designing and analyzing A/B tests and multivariate experiments to optimize pricing strategies, marketing campaigns, and customer experience initiatives.
Responsibilities
- Design and deliver AI-powered interactive dashboards using generative BI capabilities (natural language queries, automated insight generation) and performance reporting that enable real-time decision-making across retail portfolios.
- Conduct deep-dive analyses to optimize customer lifecycle value through acquisition analytics, pricing optimization, churn modeling and assessment, customer engagement analytics, and advanced testing and measurement solutions.
- Champion adoption of emerging AI/ML tools and methodologies, staying current with generative BI innovations (e.g., AI-assisted data preparation, automated anomaly detection, conversational analytics) to maintain Vistra's analytical competitive edge.
- Lead implementation of BI and AI-enhanced initiatives that identify profitable growth opportunities and optimize portfolio performance across Vistra's retail energy and customer markets, directly influencing pricing strategies and customer acquisition and retention initiatives.
- Own end-to-end BI solution development utilizing Python, SQL, Tableau, Power BI, Excel, Word, PowerPoint, generative BI tools, or other programming languages to build executive dashboards and operational reports that enable stakeholders to make faster, data-driven decisions.
- Lead evaluation and implementation of AI-enhanced BI platforms including generative analytics tools that enable natural language data exploration, automated insight surfacing, and predictive recommendations for business stakeholders.
- Translate complex energy usage, pricing, customer profile and behavior data into clear, actionable recommendations for Pricing, Portfolio Management, Finance, Marketing, and Customer Experience teams and channels.
Other
- Mentor and develop junior analysts, fostering a culture of continuous learning and analytical excellence.
- Provide thought leadership and mentorship to team members, fostering a culture of continuous learning, innovation and collaboration.
- Strategic thinker who balances analytical rigor with business pragmatism, excelling in cross-functional collaboration with business and technical stakeholders.
- 5+ years (or Master's with 3+ years, or equivalent 8+ years) of professional experience in data analysis or a related field.
- Experience collaborating with data engineering and data science teams to define requirements, integrate ML model outputs into BI dashboards, and navigate ambiguous business problems.
