At a Glance
- Tasks: Lead marketing measurement strategies and optimise global marketing investments.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, flexible work, private medical insurance, and annual self-development budget.
- Why this job: Step into a leadership role and make a real impact on marketing effectiveness.
- Qualifications: 4+ years in marketing analytics, strong SQL and Python skills required.
- Other info: Join a diverse team with excellent career growth opportunities and fun 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.
We're looking for an exceptional Lead Marketing Scientist to own and evolve our marketing measurement framework. This is a high-impact role where you'll be the expert driving how we measure and optimize £M's of marketing investment across the globe. This is your opportunity to step into a leadership position guiding a team of two talented analysts to build, maintain, and evolve our triangle of measurements from end to end. The ideal candidate is a highly analytical individual 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. We're open to either a strong IC with aspirations to transition into a hands-on lead role, or an experienced hands-on leader.
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, outcome oriented, and you are looking to step into a managerial hands-on position, 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 marketing analysts (IC), fostering their growth and ensuring high-quality output, and that the project priority definition is outcome oriented.
- For IC candidates, there would be a clear pathway to grow into this leadership responsibility as the team and function expand.
- 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 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. Management experience is not required but advantageous.
- 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
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 Marketing Scientist in Clifton employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Marketing Scientist in Clifton
✨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 Wise's mission and values. Show us how your skills align with our goals, especially in marketing measurement and analytics. We love candidates who are genuinely passionate about what we do!
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you've tackled challenges in marketing analytics. We want to hear about your thought process and the impact of your work.
✨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 serious about joining the Wise team!
We think you need these skills to ace Lead Marketing Scientist in Clifton
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Lead Marketing Scientist role. Highlight your experience with marketing measurement frameworks and any relevant technical skills, like SQL and Python, that align with what we're looking for.
Showcase Your Analytical Skills: We want to see your analytical prowess! Include specific examples of how you've used data to drive marketing decisions or optimise campaigns. This will help us understand your approach to problem-solving and your impact in previous roles.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point, showcasing your qualifications without fluff.
Apply Through Our Website: Don't forget 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 shows you're keen on joining our team at Wise!
How to prepare for a job interview at Wise
✨Know Your Numbers
As a Lead Marketing Scientist, you'll need to demonstrate your analytical prowess. Brush up on key metrics related to marketing effectiveness and be ready to discuss how you've used data to drive decisions in past roles. Show them you can turn numbers into actionable insights!
✨Showcase Your Technical Skills
Make sure you're comfortable discussing your experience with SQL, Python, and any data visualisation tools you've used. Be prepared to explain how you've built or improved measurement frameworks in previous positions. This is your chance to shine as the technical expert they’re looking for!
✨Collaboration is Key
This role involves working cross-functionally, so highlight your experience collaborating with different teams. Share examples of how you've successfully partnered with marketing, data science, and engineering teams to achieve common goals. They want to see that you can bridge gaps and foster teamwork.
✨Prepare for Scenario Questions
Expect questions that ask how you'd handle specific challenges related to marketing measurement. Think about potential scenarios involving attribution models or campaign optimisation, and prepare your thought process on how you'd tackle these issues. This will show your strategic thinking and problem-solving skills.