Analytics Manager - Marketing Science

London, UK (Hybrid)

£75K/yr – £115K/yrManager4+ years expFull time

Posted 2 months ago

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Job Summary

Own end-to-end measurement strategy and attribution modeling with cross-functional influence and a growth roadmap.

  • Lead the measurement product with channel optimisation, MMM, and experimentation focus.
  • Manage two analysts and deliver an outcome-driven roadmap with scalable, data-backed insights.
  • Leverage AI to scale processes and surface strategic channel recommendations.

Job Description

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.

Requirements

  • Bachelor’s degree in Statistics, Economics, or other relevant fields.
  • 4+ years of experience in a marketing analytics or data science role.
  • 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.

Preferred

  • Leadership/management experience is advantageous but not required
  • dbt experience advantageous

Benefits

  • 💰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
  • Find out more about our benefits in our London office.

Wise

3.9 Glassdoor

Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money.Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is listed on the London Stock Exchange under the ticker, WISE.16 million people and businesses use Wise globally, which processes £9 billion in cross-border transactions every month, saving customers around £1.5 billion a year.For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages.Login to access customer support: https://wise.com/login/FB: https://www.facebook.com/Wise/IG:https://www.instagram.com/wiseaccount/TW:https://twitter.com/home

Founded in 2011
London, England, GBR
9.2K employees (465 in marketing)
78% recommend to a friend
85% CEO approval

Traffic Signals

Monthly Visitors
47.5M
Monthly Google Ads Budget
$80.4K
Traffic Source Mix
Search
50%
Direct
47.8%
Referral
1.7%
Social
0.2%
Paid
0.2%

Headcount Trend

Current headcount: ~9.2K

Marketing Team

Marketing Team Size
318 (3% of company)
Median Career Experience
9.5 years
Median Tenure
3.3 years
Marketing Roles Posted (Last 30 Days)
7

Funding

Total Funding
$1.7B
Last Raise
Post IPO Debt, 3 years ago

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