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For Companies At a Glance
- Tasks: Lead a team of analysts to drive commercial insights and data-driven decisions.
- Company: Join Swap, an innovative AI-native platform transforming global commerce.
- Benefits: Enjoy stock options, competitive PTO, private health, and wellness perks.
- Why this job: Shape the future of ecommerce with impactful data analysis and leadership.
- Qualifications: 7+ years in data analytics, strong SQL skills, and team leadership experience.
- Other info: Diversity and equality are at our core; we value unique perspectives.
The predicted salary is between 36000 - 60000 £ per year.
Swap is the infrastructure behind modern agentic commerce. The only AI-native platform connecting backend operations with a forward-thinking storefront experience. Built for brands that want to sell anything - anywhere, Swap centralises global operations, powers intelligent workflows, and unlocks margin-protecting decisions with real-time data and capability. Our products span cross-border, tax, returns, demand planning, and our next-generation agentic storefront, giving merchants full transparency and the ability to act with confidence. At Swap, we are building a culture that values clarity, creativity, and shared ownership as we redefine how global commerce works.
About the Role
We are looking for a passionate and pragmatic Lead Analyst to join and guide our growing team of embedded business analysts, helping to drive commercial value in our data-driven SaaS ecommerce environment. This is a critical leadership role within the team, offering a high degree of ownership and the chance to directly shape how data and insights are used to influence decision-making across the business. You will lead a small team of analysts embedded within key areas, ensuring they deliver high-impact commercial insights. You will also oversee the analysis and reporting that powers our business—from internal commercial insights for Sales and Finance to the trusted data enabling our customer-facing agentic systems.
Key responsibilities
- Strategic Business Partnering & Roadmap Alignment: Act as the primary interface between the data function and key business stakeholders (e.g., VP of Sales, Head of Product). You will translate vague business questions into concrete analytical roadmaps, ensuring that the embedded team is prioritising work that directly impacts ARR, retention, and operational efficiency.
- Team Leadership & Technical Standardisation: Manage and mentor a small team, conducting code reviews and fostering professional growth. Establish and enforce technical standards (SQL style guides, Git version control, dbt modelling) for reusable, scalable, and maintainable code across the organisation.
- Advanced SaaS Metrics & Performance Analysis: Lead definition and monitoring of key SaaS KPIs (e.g., NRR, CAC Payback, LTV:CAC, Churn, Usage Frequency). Drive the team beyond descriptive ('What happened?') to diagnostic and predictive analytics ('Why did churn spike in Q3? Which accounts are at risk next month?').
- Data Governance: Champion data governance and quality. Own the 'Single Source of Truth' by ensuring consistent metric definitions across all business units and providing input to the Analytics Engineering team to maintain a clean, trusted data infrastructure (warehouse/BI layer).
- Data Storytelling & Executive Communication: Translate complex data into clear, compelling narratives for executive leadership. Deliver recommendations, proactively identifying risks and growth opportunities, beyond just dashboards.
What we would like to see
- 7+ years in Data Analytics/BI/Product Analytics, ideally B2B SaaS, with proven experience mentoring or leading teams.
- Advanced SQL and experience with Python/R for statistical analysis, forecasting, or automation.
- Deep commercial acumen and SaaS metrics expertise (NRR, CAC Payback, PLG). Ability to translate vague goals into analytical frameworks.
- Exceptional data storytelling; synthesises complex data into clear, actionable narratives for executive stakeholders.
- Familiarity with modern data stacks (Snowflake/BigQuery + dbt); comfortable navigating git, reading dbt code for lineage, and contributing to semantic layers.
- Rigorous approach to experimental design; experience with A/B testing or causal inference to measure impact.
Benefits
- Stock options in a high-growth startup.
- Competitive PTO with public holidays additional.
- Private Health.
- Pension.
- Wellness benefits.
- Breakfast Mondays.
Diversity & Equal Opportunities
We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn’t just the right thing to do; it’s also the smart thing.
Lead Analyst in London employer: Swap
Contact Detail:
Swap Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry, especially those at companies you admire. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their products and how they fit into the market. This will help you tailor your answers and show you're genuinely interested.
✨Tip Number 3
Practice your data storytelling skills. Be ready to explain complex data insights in simple terms. This is crucial for roles like Lead Analyst where clear communication is key.
✨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 joining our team.
We think you need these skills to ace Lead Analyst in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Analyst role. Highlight your experience in data analytics, especially in B2B SaaS, and showcase how your skills align with our mission at Swap.
Showcase Your Leadership Skills: Since this is a leadership position, don’t forget to emphasise your mentoring experience. Share examples of how you've guided teams in the past and how you can help shape our analytics vision.
Be Data-Driven: We love numbers! When discussing your previous roles, include specific metrics or KPIs you’ve influenced. This will show us your strong commercial acumen and ability to drive results through data.
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 your enthusiasm for joining our team!
How to prepare for a job interview at Swap
✨Know Your Metrics
Familiarise yourself with key SaaS metrics like NRR, CAC Payback, and Churn. Be ready to discuss how these metrics impact business decisions and demonstrate your understanding of their significance in driving commercial value.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Highlight your mentoring experience and how you've fostered professional growth within your team, as this role requires a hands-on leader who can guide others.
✨Master Data Storytelling
Practice translating complex data into clear narratives. Think of examples where you've turned data insights into actionable recommendations for stakeholders, as this will be crucial in communicating effectively with executive leadership.
✨Be Ready for Technical Questions
Brush up on your SQL and Python skills, as well as your knowledge of modern data stacks like Snowflake or BigQuery. Expect technical questions that assess your ability to establish standards and ensure data quality across the organisation.