At a Glance
- Tasks: Transform complex marketing data into actionable insights and scalable tools for growth.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, diverse team culture, and opportunities for career progression.
- Other info: Diverse and inclusive environment where your contributions are valued.
- Why this job: Be at the forefront of marketing analytics and drive impactful decisions with cutting-edge technology.
- Qualifications: 4+ years in marketing analytics, strong SQL and Python skills required.
The predicted salary is between 60000 - 80000 € per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world’s money.
We are looking for a technically-driven Lead Analyst to join our Growth Marketing Analytics team. This high-impact role scales the development, execution, and evolution of our global and regional growth narratives, deepening understanding of our growth drivers and providing deep-dives through the use of emerging technologies and AI. You will productionise the technical engine behind how we identify and act on opportunities, creating the automated foundations that enable our Marketing and Finance teams to make smarter investment decisions for our global marketing efforts. This role plays a pivotal part in driving better growth economics and further extending our growth architecture, while deploying these elements into the business and being an active participant in decision making.
You have the business acumen to know what makes a data product meaningful for marketing stakeholders and can effectively partner with them, while your primary appetite is for scalable products and infrastructure. You will ensure data quality remains pristine across a broad horizontal scope, building a scalable, reflective view of past growth drivers while providing the technical scaffolding to fuel future strategy and ideation across the wider analytics team and its context.
Your Mission
Your mission is to turn complex marketing and financial data into a scalable, high-performance engine for insight generation. You will own the technical infrastructure for (regional) growth narratives, fostering the development of automated tools (such as Streamlit apps, AI/agentic automation and reporting tools) that guide marketing teams on where the highest value opportunities lie. You will be a key player in helping marketing teams accelerate their impact on our mission by ensuring they have the right data products at their fingertips.
Key Responsibilities
- Build and maintain the growth narratives and infrastructure, ensuring a robust technical base for all global and regional growth analysis.
- Lead further productionising of our Marketing Financials process, automating insights and providing deep-dives to further understand drivers of global and regional growth performance.
- Lead the development and deployment of advanced analytics consumption tools, including Lightdash reporting, Streamlit apps, and AI/agentic automation to provide deep-dives.
- Create Payback models and financial modelling to ensure we set the correct guardrails for our investments relative to the unit economics of our customers.
- Unlock frameworks for new growth areas, from how we can use promos to incentivise growth, how we think about investments across the marketing funnel and work with our Global and Regional leads to unlock these strategies.
- Balance technical rigor with speed to deliver meaningful data products that translate into business impact.
Leadership & Partnering
- Successfully collaborate with stakeholders who provide input to and consume output from your data products, specifically Finance, Paid & Organic Marketing, and Regional teams.
- Be a subject matter expert on technical infrastructure within the Marketing Analytics team, ensuring our systems can support future growth.
- Contribute to the overall analytics strategy, ensuring that tribe data and analytics is discoverable and leveraged.
- Act as a specialist within the team, identifying technical debt and building reusable data components that pave the way toward a path toward Staff Analyst.
Required Qualifications
- 4+ years of hands‑on experience in a marketing analytics, data engineering, or insights role, ideally at the start of your technical lead journey.
- Strong proficiency of SQL and advanced Python is required.
- Experience with modern data stacks, including dbt, data warehousing (e.g. Snowflake) and visualization/semantic layers like Lightdash or Looker.
- Ability to understand the underlying business logic of marketing and financials to ensure technical products are meaningful and actionable.
- Strong ability to collaborate with cross‑functional stakeholders (Finance, Marketing) to translate business needs into technical requirements.
- A focus on building systems and automated insights that drive measurable improvements in how the business consumes data.
Preferred Qualifications
- Experience building data products, such as Streamlit apps, custom internal tools, or AI‑integrated workflows.
- Familiarity with AI‑native development workflows and tooling (e.g., Cursor, Claude, or GitHub Copilot) to accelerate the build of data products and automated agents.
- Proven ability to automate context around data, creating technical systems that effectively communicate the drivers of growth to a wide stakeholder set.
We know that some people are less likely to apply for a role unless they meet every single requirement. If you’re excited about this role but your experience doesn’t align perfectly with every point, we’d still love to hear from you.
We believe teams are strongest when they are diverse, equitable and inclusive. We’re proud to have a truly international team, and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
Lead Growth Analyst - Marketing Analytics in London employer: Limelight Health
Wise is an exceptional employer that fosters a dynamic and inclusive work culture, where innovation and collaboration thrive. As a Lead Growth Analyst in our Marketing Analytics team, you will have the opportunity to work with cutting-edge technologies and contribute to meaningful projects that drive global growth. We prioritise employee development, offering robust growth opportunities and a supportive environment that empowers you to make impactful decisions while enjoying the benefits of a diverse and international team.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Growth Analyst - Marketing Analytics in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your technical prowess in marketing analytics. This is a great way to demonstrate your capabilities beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to growth analytics. Be ready to discuss how you've used data to drive decisions and improve outcomes in past roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission at StudySmarter.
We think you need these skills to ace Lead Growth Analyst - Marketing Analytics in London
Some tips for your application 🫡
Show Your Technical Skills:Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, especially in marketing analytics or data engineering roles.
Tailor Your Narrative:When writing your application, connect your past experiences to the role's responsibilities. We love seeing how you can turn complex data into actionable insights, so share specific examples that demonstrate this.
Collaborate and Communicate:Emphasise your ability to work with cross-functional teams. We value collaboration, so mention any experiences where you've partnered with finance or marketing teams to deliver impactful data products.
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 you're keen on joining our team!
How to prepare for a job interview at Limelight Health
✨Know Your Numbers
As a Lead Growth Analyst, you'll be expected to have a strong grasp of marketing and financial metrics. Brush up on key performance indicators (KPIs) relevant to the role, such as customer acquisition cost and return on investment. Be ready to discuss how you've used data to drive decisions in previous roles.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in SQL and Python during the interview. Prepare examples of projects where you've built data products or automated insights. If you've worked with tools like Streamlit or Lightdash, share specific instances where these tools made a significant impact on your work.
✨Understand the Business Context
It's crucial to demonstrate your understanding of how marketing and financial data intertwine. Be prepared to discuss how you can translate complex data into actionable insights for stakeholders. Think about how your technical skills can support business objectives and be ready to share your thoughts on this.
✨Collaborate and Communicate
This role involves working closely with various teams, so showcasing your collaboration skills is key. Prepare to discuss how you've successfully partnered with cross-functional teams in the past. Highlight any experiences where your communication helped bridge the gap between technical and non-technical stakeholders.