Jobs
We are looking for an exceptional Marketing Experimentation Analytics Manager to own the strategy, execution and evolution of marketing’s experimentation roadmap at Wise. Experimentation is a key pillar for exploring marketing growth opportunities, driving smarter investment decisions and enhancing our marketing effectiveness measurement strategy.
This role is ideal for someone who already has early people management experience and wants to deepen their leadership impact while staying close to hands-on work.
Your Mission
Our marketing experimentation program is a core driver of wiser investment and sustainable growth. You will be responsible for shaping a world-class marketing’s experimentation roadmap, fostering the prioritisation of high value opportunities and guiding marketing teams on what, how, when and where to test and drive recommendations based on test results. You will be a key player in helping marketing teams accelerate their impact on the business.
Key Responsibilities
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Develop a strategy, prioritization and roadmap for marketing experimentation.
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Identify high impact testing opportunities across channels and influence them within marketing.
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Collaborate with marketing and finance teams to define testing budgets and priorities.
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Define priorities and analytics capacity for experimentation, balancing speed, rigor and impact.
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Coordinate the experimentation agenda and ensure timely, high quality delivery.
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Deliver best in class marketing experiment designs and results alongside our exceptional Lead Experimentation Analyst.
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Ensure rigor in test design, analysis and interpretation.
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Translate experimental results into clear, actionable insights and recommendations.
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Present findings to marketing partners, helping them confidently act on results.
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Advocate for evidence-based decision making across marketing teams.
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Collaborate with data science and marketing analytics teams to integrate test results into our marketing effectiveness measurement framework.
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Manage and develop a team of one marketing analyst (IC), fostering their growth and ensuring high-quality output, and that the project priority definition is outcome oriented.
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Act as a subject of matter of measuring marketing effectiveness via experimentation.
Qualifications
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Bachelor’s degree in Statistics, Economics, or other relevant fields.
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4+ years of experience in a marketing analytics or data science role.
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Experience managing a team of one analyst.
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Proficiency in SQL, advanced in Python and experience in data visualization tools (example, Looker). (dbt is advantageous).
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Very strong experience in marketing experimentation, incrementality testing or causal inference.
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Hands on experience designing and analysing experiments. Must have experience working with Causal Impact / Geo Lift / PyMC causal inference packages (or similar).
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Deep understanding of statistical inference models.
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Ability to connect analytics outcomes to marketing decisions.
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Strong communication, project management and stakeholder management skills.
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Outcome oriented mindset.
Some of our benefits:
💰Base salary of £75,000 - £100,000 (based on experience)
🚀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.
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.
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.
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.
For everyone, everywhere.
More about our mission and what we offer.
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About Wise

Wise
PublicWISE inspires girls and women to study and build careers in science, technology, engineering and manufacturing.
1-50
Employees
Bradford
Headquarters
$8.0B
Valuation
Reviews
2.8
9 reviews
Work Life Balance
2.1
Compensation
3.2
Culture
2.3
Career
2.8
Management
1.9
25%
Recommend to a Friend
Pros
Great coworkers and positive relationships
Good benefits and time off
Training and promotion opportunities
Cons
Poor management and lack of support
Toxic workplace environment and micromanaging
Poor work-life balance and long hours
Salary Ranges
113 data points
Junior/L3
Mid/L4
Senior/L5
Director
Junior/L3 · Application Tester
1 reports
$93,192
total / year
Base
$81,037
Stock
-
Bonus
-
$93,192
$93,192
Interview Experience
4 interviews
Difficulty
2.3
/ 5
Duration
14-28 weeks
Offer Rate
50%
Experience
Positive 25%
Neutral 25%
Negative 50%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Interview Round
4
Technical/Role-specific Interview
5
Final Interview
6
Offer Decision
Common Questions
Technical Knowledge
Past Experience
Behavioral/STAR
Role-specific Skills
Problem Solving
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