Senior Data Analyst — Commercial Metrics & Forecasting

Tem-Energy Limited; United Kingdom; Remote; GBP 60,000 - 75,000; Full time

Job summary

Tem-Energy Limited is hiring a Senior Data Analyst embedded in the commercial team. You will own core metrics such as conversion to revenue, contracted volume, and margins, and you will forecast, report, and provide clear recommendations to senior stakeholders.

You will transform ambiguous questions into well-defined analytical problems, improve data quality, and drive adoption of analytics across the team to support strategic decisions.

Qualifications

• Strong SQL skills and ability to analyze large datasets.
• Commercial understanding and ability to tie findings to revenue and margins.
• Experience forecasting or scenario modelling and explaining drivers.
• Turn ambiguous questions into well-defined analytical problems and present recommendations.
• Experience building trusted metrics or reporting from messy data.
• Desirable: energy or fintech sector experience.
• Desirable: Python for data work.
• Desirable: metric frameworks linking operations to outcomes.
• Desirable: familiarity with CRM data structures.

Responsibilities

• Senior Data Analyst embedded within the commercial team, owning core metrics that matter to the business.
• Translate complex analysis into clear, actionable recommendations for senior stakeholders.
• Monitor the sales pipeline and ensure accurate revenue forecasting and reporting.
• Diagnose CRM data quality issues affecting pipeline and forecast reliability.
• Size commercial opportunities and analyze partner performance to support decisions.
• Help the team self-serve analytics and drive adoption across non-technical colleagues.

Skills

SQL

Commercial acumen

Forecasting

Stakeholder communication

Data reporting

CRM data knowledge

Data quality

Tools

dbt

Omni BI tools

CRM systems

Parent-child data structures

Job description

Tem-Energy Limited is hiring a Senior Data Analyst embedded in the commercial team. You will own core metrics such as conversion to revenue, contracted volume, and margins, and you will forecast, report, and provide clear recommendations to senior stakeholders.

You will transform ambiguous questions into well-defined analytical problems, improve data quality, and drive adoption of analytics across the team to support strategic decisions.