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About the Role
A hands-on analyst for a consumer energy business focused on pay-as-you-go cooking gas delivery in emerging markets. You will own the analysis process end-to-end, working directly with commercial, operations, finance, and management teams, including founders. You will join the energy data team and work with raw data from various sources.
Responsibilities
- Own analysis end-to-end, from framing questions to defending findings.
- Analyze customer acquisition, activation, retention, and churn.
- Analyze consumption and top-up behavior.
- Conduct pricing and promotion analysis.
- Analyze field operations and unit economics.
- Forecast gas demand, cylinder logistics, and revenue.
- Detect anomalies and fraud.
- Establish reporting with single agreed definitions across departments.
- Work with messy data as the normal case, including connectivity gaps and delayed records.
Requirements
- 4+ years as a data analyst or in a comparable analytical role.
- Experience with high-volume B2C transactional data (prepaid mobile, telecoms, mobile money, utilities, pay-as-you-go energy, retail, or similar).
- Experience in commercial analytics, including churn and retention, cohort and lifetime-value analysis, segmentation, pricing, or campaign evaluation.
- Strong SQL and Python (pandas or similar) skills.
- Readiness to work with raw data, including unfamiliar schemas and undocumented tables.
- Sound understanding of statistics for business questions (baselines, control groups, seasonality).
- Experience working with coding agents and verifying their output.
- Experience with a BI tool (Power BI, Tableau, Metabase, Superset, or similar).
- Clear communication skills to explain results and their limits to non-technical managers.
- Professional proficiency in Russian.
- English sufficient to present findings and defend methodology.
Skills
- Data Analysis
- SQL
- Python (pandas)
- BI Tools (Power BI, Tableau, Metabase, Superset)
- Statistics
- Commercial Analytics
- Customer Analytics
- Churn Analysis
- Retention Analysis
- Cohort Analysis
- Lifetime Value Analysis
- Segmentation
- Pricing Analysis
- Campaign Evaluation
- Forecasting
- Anomaly Detection
- Fraud Detection
- Reporting
Location
- London
Work Type
- Hybrid
- Full-time
Experience Level
- 4+ years
Benefits
- Ownership of customer and commercial analytics with room to shape methodology.
- Direct access to founders and decision-makers.
- Generous AI tooling budget.
- Competitive compensation.
About the Company
- A consumer energy business delivering pay-as-you-go cooking gas (LPG) to hundreds of thousands of households in fast-growing emerging markets.
- The business model is similar to a prepaid mobile operator, with customers topping up credit via mobile money and consuming in small amounts, with usage recorded by smart meters.
- Operates in emerging markets.