5 дней назад
Senior Data Analyst (Energy)
75 000 - 92 500GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Analyst (Energy): Building trusted commercial metrics, forecasts, and partner performance analysis for AI-native electricity transaction infrastructure with an accent on pipeline accuracy, revenue forecasting, and data quality. Focus on investigating complex datasets, sizing commercial opportunities, and translating ambiguous questions into recommendations that improve revenue, margins, and data self-service.
Location: Europe; remote-first and flexible working.
Salary: £75,000–£92,500 per year, or equivalent in the local currency, plus equity.
Company
AI-native transaction infrastructure for transparent, efficient, and sustainable electricity markets, including the RED modern utility product.
What you will do
- Monitor the sales pipeline and resolve overlapping or double-counted in-progress and confirmed revenue.
- Define and report forecast accuracy against annual targets and establish reliable commercial metric standards.
- Investigate CRM data-quality issues, including parent-child asset relationships, that affect pipeline and forecast reliability.
- Perform commercial opportunity sizing, partner performance analysis, and pipeline risk and trend analysis.
- Translate retention, renewal, and other complex analyses into clear recommendations for senior commercial stakeholders.
- Build data adoption and self-service capabilities across the commercial team.
Requirements
- Strong SQL skills for investigating complex datasets across modern analytics stacks such as dbt and Omni or similar BI tools.
- Good commercial understanding and the 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 present recommendations clearly to senior stakeholders.
- Experience building trusted metrics or reporting from messy or inconsistent CRM and transactional data.
Nice to have
- Experience in energy, fintech, or another commercially complex, data-heavy sector.
- Python for statistical or data-quality analysis.
- Experience building metric frameworks connecting operational activity to commercial outcomes.
- Familiarity with CRM syss and parent-child or account hierarchy data structures.
Culture & Benefits
- Remote-first and flexible working with clear core hours.
- No internal meetings on Friday afternoons.
- 25 days of holiday plus public holidays, with the option to swap public holidays for personally relevant dates.
- Birthday day off.
- Stock options and equity participation.
Hiring process
- Introductory Talent call lasting 30 minutes.
- 60-minute behavioural interview with the Hiring Manager, followed by a 60-minute technical skills interview.
- 45-minute Bar Raiser interview with leadership stakeholders; the process typically takes 2–3 weeks from first conversation to offer.
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