Staff Data Analyst

About tem

The Role

Pipeline and Revenue Forecasting

• Monitor the sales pipeline and resolve overlapping or double-counted revenue.
• Define and report forecast accuracy against annual targets.
• Diagnose CRM data quality issues that affect pipeline and forecast reliability.

Commercial Analysis and Insight

• Conduct commercial opportunity sizing and partner performance analysis.
• Identify underperformance, trends, and risks before they appear in headline forecasts.
• Translate retention and renewal analysis into recommendations for senior stakeholders.

Partnership and Storytelling

• Define clear and agreed metrics with commercial and sales stakeholders.
• Translate complex data into compelling stories for non-technical stakeholders.
• Increase data adoption so colleagues can self-serve routine analysis.

Required Qualifications

• Solid SQL skills across modern analytics stacks such as dbt, Omni, or similar BI tools.
• Good commercial understanding connected to revenue and margin outcomes.
• Experience developing forecasts or scenario models and explaining variance from actuals.
• Ability to define ambiguous analytical problems and communicate recommendations to senior stakeholders.
• Experience building trusted metrics or reporting from messy or inconsistent CRM or transactional data.

Bonus Qualifications

• Experience in energy, fintech, or another commercially complex, data-heavy sector.
• Python experience for deeper statistical or data-quality work.
• Experience building metric frameworks connecting operational activity to commercial outcomes.
• Familiarity with CRM systems and parent-child or account hierarchy data structures.

Compensation and Benefits

• The listed compensation range is £92,500 to £101,000 or equivalent in local currency.
• Benefits include stock options, 25 days of holiday plus public holidays, and a birthday day off.

Working Arrangement

• The role is remote first and offers flexible working with clear core hours.
• The company has no internal meetings on Friday afternoons.

Interview Process

• The stated process usually takes two to three weeks and includes talent, behavioural, technical skills, and leadership interviews.