Commercial Analyst

Elliptic; England; On-site; GBP 50,000 - 70,000; Full time

Job summary

A data-driven technology company in the United Kingdom is seeking a Commercial Analyst to enhance their revenue insights and offer analytical support to leadership. The ideal candidate will have over 5 years of experience, particularly in SaaS revenue models, strong skills in SQL and Python, and the ability to present findings compellingly. You will actively engage with executives and influence strategic decisions based on customer lifecycle analysis.

Qualifications

• 5+ years in a commercial analyst role with a focus on SaaS revenue models.
• Proven track record of using data to drive commercial outcomes.
• Strong proficiency with SQL and Python.

Responsibilities

• Drive revenue velocity through customer lifecycle performance analysis.
• Identify friction points in acquisition and retention through quantitative analysis.
• Build forecasting models for churn risk and capacity planning.

Skills

SQL

Python

Data visualization tools

Quantitative analysis

Cohort modeling

Analytical insights

Tools

ChatGPT

Hubspot

Job description

Join to apply for the Commercial Analyst role at Elliptic.

We’re looking for someone who thrives at the intersection of data analysis and commercial strategy—someone who can uncover the patterns in customer lifecycle data that shape how leadership thinks about growth, and who gets energized building the reporting infrastructure that will scale with us.

The impact you will have

Exceptional commercial operations require exceptional insights. At Elliptic, we’re not merely tracking metrics—we’re building the analytical capabilities that illuminate how prospects become customers, customers achieve value, and revenue scales predictably.

You'll be the analytical partner to our executive team, translating complex data across our GTM data into the insights that inform strategic discussions, planning, and investment decisions.

Key Responsibilities

Drive revenue velocity through analytical insights into customer lifecycle performance. By analysing the full customer lifecycle analytics you will identify strategic recommendations that accelerate acquisition, expansion, and retention.

• Conduct comprehensive analysis of conversion, volume and time-bound metrics across the full customer lifecycle to drive revenue velocity
• Identify friction points and acceleration opportunities in acquisition, expansion, and retention through quantitative analysis and cohort modeling
• Build and maintain analyses around multi-touch attribution for return on marketing investments
• Build forecasting models for pipeline health, churn risk, expansion signals, and capacity planning to support strategic decision-making
• Synthesize cross-functional data to understand conversion drivers, bottlenecks, and performance variations by segment, channel, and motion

Strategic Partnership with Leadership

• Provide analytical support to Head of Revenue Operations for pipeline management, forecast accuracy, sales cycle optimization, win/loss analysis, and sales productivity
• Deliver insights to Director of Customer Success on churn drivers, health score effectiveness, time-to-value, expansion opportunities, and customer segmentation
• Translate complex analytical findings into actionable insights for CRO through executive dashboards and strategic recommendations
• Work with the CEO on ad hoc analyses to help define strategic direction and investment areas

You will be a great fit here if you:

• Have 5+ years in a commercial analyst role with a deep understanding of SaaS revenue models and the customer lifecycle
• Have a proven track record of using data to drive commercial outcomes
• Possess strong proficiency with SQL / Python and data visualisation tools, and can manage a data pipeline through to compelling presentation of insights
• Always want to know the reason behind the data you’re seeing, and can back up your conclusions with the drivers
• Can bridge technical and business stakeholders, telling a story with data that enables executive decision making
• Have used tools like ChatGPT or Claude to streamline data analysis, automate reporting, or solve complex analytical problems

Bonus Points for:

• Experience with working with Hubspot
• An interest in crypto

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Analyst