Staff Data Analyst
tem · Remote · United Kingdom ·
COMPENSATION
€•• – ••k
Listed on the employer's job board (Ashby)
- Staff level role
- Fully remote (UK/EU)
- SQL + Python
- Commercial focus
- £92k-£101k
You will join tem, a company rebuilding energy transactions with AI-native infrastructure. As a Staff Data Analyst, you will work directly with commercial stakeholders to define core metrics, improve forecast accuracy, and identify risks in the sales pipeline. Your analysis will guide strategic decisions rather than just reporting numbers.
What you'll do
- Monitor sales pipeline to resolve revenue overlap and double-counting issues
- Define and report on forecast accuracy against annual commercial targets
- Diagnose CRM data quality issues affecting pipeline reliability
- Conduct opportunity sizing and partner performance analysis
- Identify emerging trends and risks before they impact headline forecasts
- Translate complex data into clear recommendations for senior stakeholders
- Increase data adoption to enable self-service for non-technical colleagues
What you'll need
- Solid SQL skills for investigating complex datasets
- Experience with modern analytics stacks like dbt or Omni
- Strong commercial understanding linking analysis to revenue outcomes
- Proven experience developing forecasts or scenario models
- Ability to turn ambiguous questions into defined analytical problems
- Experience building trusted metrics from messy source data
Nice to have
- Experience in energy, fintech, or data-heavy sectors
- Python skills for statistical or data-quality work
- Experience building metric frameworks connecting ops to outcomes
- Familiarity with CRM parent-child account hierarchies
Stack
- SQL
- dbt
- Omni
- Python
- CRM systems
How you'll work
- Remote first within the UK and Europe
- Reports to the Analytics Manager
What you get
- Salary between £92,500 and £101,000 GBP
- Stock options for ownership in the mission
- 25 days holiday plus public holidays
- Option to swap public holidays for personal dates
- Birthday off
Hiring process
- Intro call with Talent (30 minutes)
- Behavioural Interview with Hiring Manager (60 minutes)
- Technical Skills interview with the team (75 minutes)
- Bar Raiser interview with leadership (45 minutes)