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 stakeholders.
Increase data adoption across the commercial team so non-technical colleagues can self-serve for routine needs.
Requirements
Must haves
Solid SQL skills, used to investigate complex datasets across modern analytics stacks (e.g. dbt, Omni or similar BI tools).
Good commercial understanding, with an ability to connect analytical findings to revenue and margin outcomes.
Experience developing forecasts or scenario models, and explaining the drivers behind variance from actuals.
Ability to turn ambiguous stakeholder questions into well-defined analytical problems, and to present recommendations clearly to senior stakeholders.
Proven experience building trusted metrics or reporting from messy or inconsistent source data (e.g. CRM, transactional systems).
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tem is hiring a Senior Data Analyst to own commercial metrics, pipeline and revenue forecasting, partner analysis, and data quality. The role turns ambiguous business questions into recommendations for commercial and sen
tem is seeking a Staff Data Analyst embedded in its commercial team to own core revenue, pipeline, forecasting, and margin metrics. The role requires strong SQL, commercial understanding, forecasting and scenario modelli
Experience in energy, fintech, or another commercially complex, data-heavy sector.
Python for deeper statistical or data-quality work.
Experience building metric frameworks that connect operational activity to commercial outcomes.
Familiarity with CRM systems and parent-child/account hierarchy data structures.
Benefits & Perks
Competitive salary of £75,000 - 92,500GBP (or equivalent in your local currency)
Stock options so everyone has ownership in our mission.
25 days holiday plus public holidays. Swap public holidays for the ones that matter most to you, and enjoy your birthday off.
Remote first within the UK and EU.
Interview Process
Intro call with Talent, 30 minutes.
Behavioural Interview with the Hiring Manager, 60 minutes.
Technical Skills interview with the team, 60 minutes.
Bar Raiser interview with leadership stakeholders, 45 minutes.
We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.
About tem
Software & SaaS90 employeesFounded 2021
AI-native energy transaction platform helping UK businesses buy electricity and generators earn more.