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For Companies At a Glance
- Tasks: Lead data analysis to drive growth and inform executive decisions.
- Company: Join a forward-thinking company focused on commercial analytics.
- Benefits: Hybrid work, generous leave, and a £1,000 learning budget.
- Other info: Exciting opportunities in a dynamic environment with a focus on personal growth.
- Why this job: Shape the future of decision-making with impactful insights.
- Qualifications: 5+ years in commercial analytics with strong SQL/Python skills.
The predicted salary is between 60000 - 80000 £ per year.
This job is brought to you by Jobs/Redefined, the UK's leading over-50s age inclusive jobs board. Do you want to establish the analytical capabilities that will shape executive decision-making for years to come? 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.
- 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.
Lifecycle Performance Analysis
- 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:
- 5+ years in a commercial analyst role with a deep understanding of SaaS revenue models and the customer lifecycle.
- Proven track record of using data to drive commercial outcomes.
- Strong proficiency with SQL / Python and data visualisation tools. You can manage a data pipeline through presenting the data in a compelling way.
- You always want to know the reason behind the data you're seeing; you'll be able to back up your conclusions with what the drivers are.
- Ability to bridge technical and business stakeholders; you can tell a story with data that enables executive decision making.
- You've 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.
Job Benefits
- How we work: Hybrid working and the option to work from almost anywhere for up to 90 days per year.
- £500 Remote working budget to set up your home office space.
- Learning & Development: $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development.
- Vacation/ Leave: Holidays: 25 days of annual leave + bank holidays. An extra day for your birthday. Enhanced parental leave: we provide eligible employees, regardless of gender or whether they become a parent by birth or adoption, 16 weeks fully-paid leave.
- Benefits: Private Health Insurance - we use Vitality! Full access to Spill Mental Health Support. Life Assurance: we hope you will never need this - but our cover is for 4 times your salary to your beneficiaries. £100 Crypto for you! Cycle to Work Scheme.
Commercial Analytics Lead — Drive Growth & Executive Insights in London employer: Elliptic Enterprises Limited
Contact Detail:
Elliptic Enterprises Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Commercial Analytics Lead — Drive Growth & Executive Insights in London
✨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
Prepare for interviews by practising common questions and scenarios related to commercial analytics. We recommend using the STAR method to structure your answers—it's all about showcasing your impact!
✨Tip Number 3
Show off your analytical skills during interviews! Bring examples of how you've used data to drive decisions in past roles. This is your chance to shine and demonstrate your value.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Commercial Analytics Lead — Drive Growth & Executive Insights in London
Some tips for your application 🫡
Show Your Analytical Skills: Make sure to highlight your experience with data analysis and how you've used it to drive commercial outcomes. We want to see how you can turn numbers into insights that matter!
Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the specific skills and experiences that match the job description. We love seeing candidates who take the time to connect their background with what we’re looking for.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and skills shine through without unnecessary fluff.
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 don’t miss out on any important updates from us!
How to prepare for a job interview at Elliptic Enterprises Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the customer lifecycle metrics and SaaS revenue models. Be prepared to discuss how you've used data to drive commercial outcomes in your previous roles. This will show that you can translate complex data into actionable insights.
✨Showcase Your Technical Skills
Brush up on your SQL and Python skills, as well as any data visualisation tools you’ve used. Be ready to share specific examples of how you’ve managed data pipelines and presented data compellingly. This will demonstrate your technical prowess and ability to bridge the gap between data and business.
✨Prepare for Strategic Discussions
Think about how you would approach strategic decision-making with the executive team. Prepare to discuss how you would identify friction points and acceleration opportunities in acquisition, expansion, and retention. This will highlight your analytical thinking and strategic mindset.
✨Be Ready to Tell a Story with Data
Practice explaining complex analytical findings in a way that’s easy to understand. Use examples from your past experiences where you’ve successfully communicated insights to stakeholders. This will showcase your ability to tell a story with data, which is crucial for influencing executive decisions.