At a Glance
- Tasks: Transform data into strategies that drive growth and influence business decisions.
- Company: Join ARQ, a fast-growing fintech redefining global money interaction.
- Benefits: Competitive salary, stock options, 25 days leave, and private health insurance.
- Other info: Work closely with founders and senior leaders in a collaborative London hub.
- Why this job: Make a real impact in a dynamic environment with a world-class team.
- Qualifications: 4+ years in analytics, SQL expertise, and strong understanding of digital marketing metrics.
The predicted salary is between 60000 - 80000 £ per year.
ARQ is one of the fastest-growing fintechs in the world. Our mission is to redefine how people interact with money across borders, building the infrastructure to move value seamlessly. We’re still early in our journey, which means every person who joins shapes the future of our product, culture, and growth. If you’re excited by big challenges, global impact, and the chance to grow fast with a world-class team, ARQ is the place to do it.
We are looking for a highly analytical and strategic Growth Analytics Manager to join our Growth team. This is a critical, high-impact role where you will be the owner of our growth data, budget, and financial planning, across our 4 core markets. You will transform raw data into actionable strategies, working hand to hand with the Head of Growth and founders to accelerate business performance. If you are passionate about blending complex data analysis with a deep understanding of consumer behavior, we want to hear from you.
What you’ll do:
- Serve as the analytical backbone for the Growth leadership team, presenting findings and strategic recommendations that directly influence budgeting, roadmap prioritization, and business strategy.
- Define, monitor, and report on key performance indicators (KPIs) across the entire user journey (AARRR: Acquisition, Activation, Retention, Referral, Revenue).
- Conduct complex, rigorous analyses (e.g., cohort analysis, A/B test analysis, attribution modeling, lifetime value (LTV) forecasting) to identify opportunities for growth optimization and understand 'why' user behavior changes.
- Design, implement, and analyze controlled experiments, providing clear, statistically significant recommendations to product and marketing teams.
What you’ll need to succeed:
- 4+ years of professional experience in an analytical role.
- Background in McKinsey, BCG or Bain is preferred.
- Expert proficiency in SQL for data querying, transformation, and analysis.
- Advanced experience with a modern data visualization tool (e.g., Tableau, Looker, Power BI).
- Proven ability to work with statistical tools or languages for data analysis (e.g., Python/R is a strong plus).
- Deep understanding of statistical significance and the proper execution/analysis of A/B/n testing.
- Strong understanding of key digital marketing metrics (CAC, ROAS, CPA, etc.) and how marketing investment impacts the P&L.
Why join us:
- Competitive salary.
- Sign-on stock options bonus, so you become part of the success of the company.
- Discretionary performance bonus (stock options).
- 25 days annual leave (plus bank holidays).
- Private health insurance.
- Latest technology to work with.
- Be part of our growing London hub, working alongside the founders and senior leaders.
- A world-class team where you’ll learn fast and grow even faster.
Growth Analytics Lead in London employer: Castleisland
ARQ is an exceptional employer, offering a dynamic work environment where every team member plays a pivotal role in shaping the future of fintech. With competitive salaries, stock options, and generous annual leave, employees benefit from a culture that prioritises growth and innovation. Located in London, you will collaborate with industry leaders and have access to cutting-edge technology, ensuring rapid personal and professional development in a fast-paced, impactful setting.
StudySmarter Expert Advice🤫
We think this is how you could land Growth Analytics Lead in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Castleisland!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Growth Analytics Lead at Castleisland.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Castleisland.
✨Apply Directly through Our Website
When you find a suitable opening like Growth Analytics Lead at Castleisland, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Growth Analytics Lead in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Castleisland, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Castleisland. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Castleisland
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Castleisland!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
