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For Companies At a Glance
- Tasks: Uncover insights from data to shape executive decisions and drive revenue growth.
- Company: Join a forward-thinking company at the forefront of the crypto industry.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional development.
- Why this job: Make a real impact by transforming data into strategic insights for leadership.
- Qualifications: 5+ years as a commercial analyst with strong SQL/Python skills.
- Other info: Dynamic team environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
Do you want to establish the analytical capabilities that will shape executive decision-making for years to come? We are 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 are not merely tracking metrics—we are building the analytical capabilities that illuminate how prospects become customers, customers achieve value, and revenue scales predictably. You will 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.
- 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.
- 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.
- Can manage a data pipeline through presenting the data in a compelling way.
- Always want to know the reason behind the data you are seeing, and can back up your conclusions with what the drivers are.
- Have the ability to 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.
- Experience with working with Hubspot.
- An interest in crypto.
Commercial Analyst employer: Elliptic
Contact Detail:
Elliptic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analyst
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your analytical capabilities. This is a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to commercial analysis. Use real data examples to showcase how you’ve driven insights in the past.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us and contributing to our growth journey.
We think you need these skills to ace Commercial Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Commercial Analyst. Highlight your experience with data analysis and commercial strategy, and don’t forget to mention any relevant tools like SQL or Python that you’ve used.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share specific examples of how you've driven revenue through analytical insights and how you can help shape our executive decision-making.
Showcase Your Analytical Skills: In your application, demonstrate your ability to translate complex data into actionable insights. Use clear examples from your past work where you’ve identified friction points or opportunities in customer lifecycle performance.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Elliptic
✨Know Your Data Inside Out
As a Commercial Analyst, you'll be expected to dive deep into customer lifecycle data. Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss specific examples of how you've used data to drive commercial outcomes in previous roles.
✨Showcase Your Analytical Storytelling
It's not just about crunching numbers; it's about telling a compelling story with them. Prepare to explain how you've translated complex analytical findings into actionable insights for leadership. Think of a few key projects where your insights led to strategic decisions.
✨Understand the SaaS Revenue Model
Since this role requires a deep understanding of SaaS revenue models, make sure you're familiar with the nuances of customer acquisition, retention, and expansion. Be prepared to discuss how you've identified friction points and opportunities in these areas through your analysis.
✨Be Ready for Technical Questions
Expect some technical questions related to data visualisation tools and cohort modelling. Brush up on your knowledge of multi-touch attribution and forecasting models. Being able to confidently answer these questions will show that you're not only skilled but also ready to hit the ground running.
