Senior Data Analyst
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Key skills for this role
Role Overview
The Senior Data Analyst will be embedded in the commercial team and will own core metrics including conversion rate, contracted volume, total sales, and margins.
The role reports to the Analytics Manager while priorities are set jointly with commercial stakeholders.
Success is measured by trusted metrics, actionable analysis, and increased self-service across the commercial team.
Key Skills for This Role
Full Job Posting
Company context
tem is building AI-native transaction infrastructure intended to make electricity markets more transparent, efficient, and accessible.
The company is scaling internationally and develops software for business energy transactions and pricing.
Role overview
The Senior Data Analyst will be embedded in the commercial team and will own core metrics including conversion rate, contracted volume, total sales, and margins.
The role reports to the Analytics Manager while priorities are set jointly with commercial stakeholders.
Success is measured by trusted metrics, actionable analysis, and increased self-service across the commercial team.
Pipeline and forecasting
- Monitor the sales pipeline and resolve overlapping or double-counted in-progress and confirmed revenue.
- Define and report forecast accuracy against annual targets.
- Diagnose CRM data quality issues, including parent-child asset relationships, that affect forecast reliability.
Commercial analysis
- Conduct commercial opportunity sizing and partner performance analysis for sales and leadership decisions.
- Identify underperformance, emerging trends, and pipeline risks before they appear in headline forecasts.
- Translate retention and renewal trends into clear recommendations for senior stakeholders.
Partnership and storytelling
- Work with commercial and sales stakeholders to define clear and agreed metric definitions.
- Translate complex analysis into compelling stories that inspire action among non-technical stakeholders.
- Increase data adoption so non-technical colleagues can self-serve routine needs.
Required qualifications
- Solid SQL skills for investigating complex datasets across modern analytics stacks such as dbt, Omni, or similar BI tools.
- Good commercial understanding and ability to connect analysis to revenue and margin outcomes.
- Experience developing forecasts or scenario models and explaining variance from actuals.
- Ability to turn ambiguous stakeholder questions into defined analytical problems and clear recommendations.
- Experience building trusted metrics or reporting from messy CRM or transactional data.
Bonus qualifications
- Experience in energy, fintech, or another commercially complex, data-heavy sector is a bonus.
- Python for deeper statistical or data-quality work is a bonus.
- Experience building metric frameworks connecting operational activity to commercial outcomes is a bonus.
- Familiarity with CRM systems and parent-child or account hierarchy structures is a bonus.
Benefits and perks
- Compensation is listed as £75,000 to £92,500 or the equivalent in local currency.
- Benefits include stock options, 25 days of holiday plus public holidays, and the option to exchange public holidays.
- Employees receive a birthday day off and flexible working with defined core hours.
Workplace
- The company describes its working model as remote first and flexible.
Interview process
- The process typically takes two to three weeks and includes talent, behavioural, technical skills, and leadership interviews.
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