Staff Data Analyst

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. The Role We're hiring a Staff Data Analyst. This is not a reporting-only role. Embedded day to day within our commercial team, you'll be responsible for the core metrics that matter to the business - conversion rate, contracted volume, total sales, and margins - building on the pipeline tracking, forecasting and partner reporting that already exists. Priorities are set jointly with commercial; performance and development sit with the Analytics Manager, who you'll report into. As a staff analyst, you'll take ambiguous commercial questions, decide the right approach, and turn analysis into clear recommendations rather than just presenting numbers. Success isn't measured by dashboards shipped - it's measured by whether stakeholders have metrics they understand and trust, analysis that changes what people do, and a team that can increasingly self-serve the answers it needs. Responsibilities Pipeline & Revenue Forecasting Accuracy • Monitor the sales pipeline, catching and resolving cases where in-progress and confirmed revenue overlap or deals get double-counted. • Define and report on forecast accuracy against annual targets, setting the standard for how commercial metrics are tracked across the team. • Diagnose CRM data quality issues, such as parent-child asset relationships, that put pipeline and forecast reliability at risk. Commercial Analysis & Insight • Carry out commercial opportunity sizing and partner performance analysis to support sales and leadership decisions. • Identify underperformance, emerging trends and risks in the pipeline before they surface in headline forecast numbers. • Serve as the voice of data for the commercial team, translating complex analysis, including retention and renewal trends, into clear recommendations for senior stakeholders. Partnership & Storytelling • Work directly with commercial and sales stakeholders to understand what "good" looks like for their metrics, and translate that into clear, agreed definitions. • Translate complex data into clear, compelling stories that inspire action among non-technical stakehol