[Hiring] Staff Data Analyst @tem

Role Description

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
• Margins

You'll build 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 senior 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 stakeholders.
  • Increase data adoption across the commercial team so non-technical colleagues can self-serve for routine needs.

Qualifications

• 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).

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).
• Bonus points
  • 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

• Competitive salary of £92,500 - 101,000GBP (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 and flexible working, with clear core hours and no internal meetings on Friday afternoons.

Interview Process

• We move fast. Most processes take 2 to 3 weeks from first chat to offer. If you need us to adapt anything, let us know.
• 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.