tem

energy

SeniorAnalyticsEngineer

£85–95k San Francisco, California, United States; New York, New York, United States; Chicago, Illinois, United States; Dallas, Texas, United States FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Analytics Engineer at tem. Skills: dbt, SQL, data modelling, semantic layer/BI modelling. Build and maintain the analytics layer. Design, build, and maintain core dbt models”

What You'll Achieve.

build and shape the analytics foundation; enable the rest of the company to use data with confidence; shipping production-ready models; improve structure, documentation and consistency; raise data quality and trust; reduce regressions; keep the warehouse performant and reliable

Industry & Context.

energy
Problems you'll solve

debugging and optimising slow or expensive models; diagnose data issues

What They're Looking For.

Must Have

hands-on experience as an Analytics Engineer in a fast-moving environment, Deep, practical dbt experience, Excellent SQL, solid data modelling fundamentals, Experience with a semantic layer or BI modelling tool (Omni, Looker, or similar), Experience translating business questions into metric definitions with stakeholders, Comfortable working with ambiguity and limited process

Nice to Have

Experience working with Marketing and Finance data, Exposure to early-stage analytics stacks or building analytics from scratch, Familiarity with experimentation, funnel analysis, or unit economics

What You'll Do.

Build and maintain the analytics layer

and maintain core dbt models

Implement and document company metrics

Deliver cross-functional analytics projects

Make pragmatic modelling trade-offs

Raise data quality and trust

Partner upstream to fix root causes

How You'll Work.

Team & Collaboration

Partnering closely with Marketing, Finance, Operations, and Data Engineering; Partner with stakeholders to understand metric needs; Work across multiple domains and teams; coordinating with stakeholders; Partner upstream to fix root causes; Work closely with Data Engineering

Communication Scope

translating business questions into metric definitions with stakeholders; build relationships with stakeholders; trusted point of contact for analytics questions

Process & Methodology

managing your own sequencing, seeing projects through to done

Full Job Description

📈 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 looking for a Senior Analytics Engineer to help build and shape the analytics foundation of a growing startup. You'll join a small data team and work on the analytics layer end-to-end: core data models, trusted metrics, and the patterns that enable the rest of the company to us

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