At a Glance
- Tasks: Lead marketing measurement strategies and guide a talented team to optimise marketing impact.
- Company: Join Wise, a global tech company revolutionising how money moves worldwide.
- Benefits: Competitive salary, flexible work, private medical insurance, and a paid sabbatical after four years.
- Why this job: Shape the future of marketing analytics and make a real difference in a dynamic environment.
- Qualifications: 4+ years in marketing analytics, leadership experience, and strong technical skills in SQL and Python.
- Other info: Diverse and inclusive culture with opportunities for personal growth and fun team activities.
The predicted salary is between 60000 - 84000 £ 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. As part of our team, you will be helping us create an entirely new network for the world's money.
We’re looking for a Marketing Science Manager to lead one of the Marketing Science team functions in developing and managing 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 talented lead 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 lead marketing analysts (IC), 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.
- 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 Python, DBT, and SQL to create a robust and scalable solution.
- Generate insights to provide strategic recommendations on how to optimise 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, with at least 2 years in a leadership or management position.
- Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Looker). (dbt is advantageous). Experience with 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.
Some Of Our Benefits
- Base salary of £75,000 - £100,000 (based on experience)
- RSUs 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.
Marketing Science Manager in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Science Manager in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into marketing measurement frameworks. Brush up on your knowledge of marketing attribution models and be ready to discuss how you can drive measurable impact with your expertise.
✨Tip Number 3
Showcase your analytical skills during interviews. Bring examples of past projects where you’ve used SQL or Python to solve complex problems. This will demonstrate your hands-on experience and strategic thinking.
✨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 you’re genuinely interested in joining the Wise team.
We think you need these skills to ace Marketing Science Manager in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Marketing Science Manager role. Highlight your analytical prowess and any leadership experience you've had, as these are key for us.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about marketing analytics and how you can contribute to our mission. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Technical Skills: Since this role requires proficiency in SQL and Python, don’t shy away from mentioning specific projects where you’ve used these tools. We want to see your hands-on experience and how it can benefit our team.
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 us you’re keen on joining our team!
How to prepare for a job interview at hackajob
✨Know Your Numbers
As a Marketing Science Manager, you'll need to demonstrate your analytical prowess. Brush up on key metrics and marketing attribution models relevant to the role. Be ready to discuss how you've used data to drive marketing decisions in the past.
✨Showcase Your Leadership Skills
This role involves managing a team of analysts, so be prepared to share examples of how you've successfully led teams before. Highlight your approach to mentoring and developing talent, as well as how you prioritise projects to achieve outcomes.
✨Understand Cross-Functional Collaboration
You'll be working with various teams, including data science and engineering. Familiarise yourself with how these functions interact with marketing. Prepare to discuss how you've collaborated across departments to achieve common goals.
✨Be Ready for Technical Questions
Expect questions about SQL, Python, and data visualisation tools. Brush up on your technical skills and be ready to explain complex concepts in simple terms. This will show your ability to communicate effectively with non-technical stakeholders.