At a Glance
- Tasks: Lead the strategy and execution of marketing measurement to drive impactful insights.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible working, private medical insurance, and annual self-development budget.
- Other info: Enjoy a diverse, inclusive culture with opportunities for growth and fun team activities.
- Why this job: Shape marketing strategies and make a real difference in a dynamic environment.
- Qualifications: Experience in marketing analytics, strong SQL and Python skills, and leadership potential.
The predicted salary is between 75000 - 115000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. 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.
We're looking for an Analytics Manager to join our Marketing Science team and own the strategy, execution and evolution of our marketing measurement framework. This role is your opportunity to shape how we drive measurable impact of £M’s of marketing investment across the globe. In this role, you'll be a key leader, guiding a team of two analysts to build, maintain, and evolve our triangle of measurements from end to end. The ideal candidate is a highly analytical hands-on leader with deep technical expertise, a strong understanding of advertising effectiveness and the ability to work cross-functionally with marketing stakeholders, analysts, data scientists, engineers and finance teams.
Your Mission
You will be responsible for the strategic direction of our triangle of measurements, ensuring it provides the best representation of marketing’s impact and actionable insights that drive marketing optimization across the company. If you are passionate about advertising effectiveness, intellectually curious and outcome oriented, this role is for you!
Key Responsibilities
- Own the strategy and implementation of our triangle of measurement ranging our marketing attribution model, experimentation and Marketing Mix Models.
- Collaborate effectively with marketing channels, data science and data engineering, and other cross-functional teams to identify and prioritise key business needs in our measurement products.
- Manage and develop a team of two analysts in different IC levels, fostering their growth and ensuring high-quality output, and that the project priority definition is outcome oriented.
- Develop and execute a strategic roadmap for the measurement product, identifying new opportunities and alternative solutions to overcome limitations.
- Leverage AI tools to optimise and scale our processes, and provide deep-dives.
- Define processes for marketing channel optimisation based on different measurement solutions available.
- Own the end-to-end technical build of the new features of the attribution model, leveraging tools like dbt, SQL and Python to create a robust and scalable solution.
- Generate insights to provide strategic recommendations on how to optimize marketing channels and spend.
- Act as a subject matter expert on our whole measurement framework.
Qualifications
- Bachelor’s degree in Statistics, Economics, or other relevant fields.
- 4+ years of experience in a marketing analytics or data science role.
- Leadership/management experience is advantageous but not required.
- Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Lightdash). dbt is advantageous.
- Experience building and deploying data pipelines and models is essential.
- Very strong, hands-on knowledge of marketing attribution models, including their methodologies, use cases, limitations, and best practices for implementation.
- Knowledge of Marketing Mix Models and experimentation.
- Proven ability to think strategically about how to use and improve an analytical product to drive business value.
- Excellent project management and stakeholder management skills, with the ability to communicate complex technical concepts to non-technical audiences.
- Deep understanding of marketing channels, campaign tracking, and the role of MMPs in mobile marketing.
Additional Information
- Base salary of £75,000 - £115,000
- RSU's in a growing and public company
- Work from (almost) anywhere in the world for up to 90 days a year
- Flexible working - you’re trusted to do the right thing and be responsible
- Private Medical Insurance + Life Insurance
- Discounted gym memberships and cycle to work scheme
- A paid 6-week sabbatical leave after four years
- 26 weeks maternity leave at full pay
- An annual self-development budget
- Annual Mission Days festival
- Pet friendly offices
- Lots of fun group activities like yoga, running and boardgame nights
For everyone, everywhere. We're people building money without borders — without judgement or prejudice, too. 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.
If you want to find out more about what it's like to work at Wise visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Analytics Manager - Marketing Science in London employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Manager - Marketing Science in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn and ask about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by diving deep into marketing analytics trends. Show us you know your stuff by discussing recent developments in marketing measurement frameworks during your chat.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've driven measurable impact in previous roles. We love hearing about real-world applications of your analytical expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows us you’re genuinely interested in joining the Wise team!
We think you need these skills to ace Analytics Manager - Marketing Science in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Analytics Manager role. Highlight your experience with marketing measurement frameworks and any leadership roles you've had. We want to see how your skills align with our mission!
Showcase Your Technical Skills: Don’t forget to mention your proficiency in SQL, Python, and any data visualisation tools you’ve used. We’re looking for someone who can dive deep into data, so let us know how you’ve applied these skills in past roles.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language to explain your achievements and how they relate to the responsibilities of the role. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Wise
✨Know Your Numbers
As an Analytics Manager, you'll need to demonstrate your deep understanding of marketing metrics. Brush up on key performance indicators (KPIs) and be ready to discuss how you've used data to drive marketing decisions in the past. Prepare specific examples that showcase your analytical skills and the impact of your work.
✨Showcase Your Leadership Style
Even if you haven't held a formal leadership position, think about how you've guided teams or projects. Be prepared to share your approach to managing and developing talent, especially since you'll be leading a team of analysts. Highlight any experiences where you've fostered growth or improved team performance.
✨Familiarise Yourself with Tools
Since the role requires proficiency in SQL, Python, and data visualisation tools, make sure you're comfortable discussing your experience with these technologies. If you’ve worked with dbt or similar tools, mention specific projects where you leveraged them to create robust data solutions.
✨Understand the Bigger Picture
Wise is all about making money management easier for everyone. Research their mission and values, and think about how your role as an Analytics Manager fits into this vision. Be ready to discuss how you can contribute to their goals and improve marketing effectiveness through your analytical expertise.