Wise Logo

Wise

Lead Marketing Experimentation Analyst

Sorry, this job was removed at 12:12 p.m. (CST) on Wednesday, Mar 11, 2026
Be an Early Applicant
Hybrid
London, Greater London, England
Hybrid
London, Greater London, England

Similar Jobs at Wise

22 Hours Ago
Hybrid
Mid level
Mid level
Fintech • Mobile • Payments • Software • Financial Services
Lead the Data Science team focused on AML Risk detection and mitigation using machine learning. Collaborate with teams and optimize operational processes.
Top Skills: GenaiMachine LearningOop PrinciplesPython
22 Hours Ago
Hybrid
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
As a Product Analytics Manager, you will bridge technical analytics and business risk, ensuring safe and profitable operations while influencing product strategy and governance through data-driven insights.
Top Skills: AirflowDbtPythonSnowflakeSQL
22 Hours Ago
Hybrid
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
The Product Analytics Manager will own liquidity management, perform stress testing, optimize tradeoffs, and define the risk strategy for Wise's product portfolio while partnering with senior stakeholders.
Top Skills: AirflowDbtPythonSnowflakeSQL
Company Description

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.

Job Description

We are looking for an exceptional Lead Marketing Experimentation Analyst to define and lead 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 a strong individual contributor who wants to expand their scope, influence strategy and begin developing management skills by partnering closely with a Lead Analyst.

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

  • Develop a strategy, prioritization and roadmap for marketing experimentation.

  • Identify high impact testing opportunities across channels and influence them within marketing.

  • Collaborate with marketing and finance teams to define testing budgets and priorities.

  • Coordinate the experimentation agenda and ensure timely, high quality delivery.

  • Deliver best in class marketing experiment designs and results alongside our exceptional Lead Experimentation Analyst.

  • Ensure rigor in test design, analysis and interpretation.

  • Translate experimental results into clear, actionable insights and recommendations.

  • Present findings to marketing partners, helping them confidently act on results.

  • Advocate for evidence-based decision making across marketing teams.

  • Collaborate with data science and marketing analytics teams to integrate test results into our marketing effectiveness measurement framework.

  • 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. For IC candidates, there would be a clear pathway to grow into this leadership responsibility.

  • Act as a subject of matter of measuring marketing effectiveness via experimentation.

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).

  • Very strong experience in marketing experimentation, incrementality testing or causal inference. 

  • Hands on experience designing and analysing experiments. Must have experience working with Causal Impact / GeoLift / PyMC causal inference packages (or similar).

  • Deep understanding of statistical inference models.

  • Ability to connect analytics outcomes to marketing decisions.

  • Strong communication, project management and stakeholder management skills.

  • Outcome oriented mindset.

Qualifications

  • Salary Range: £75,000 - £100,000 (depending on experience and interview performance) 
  • Restricted Stock Units (RSUs)
  • Read more about our full benefits offering here

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.

Additional Information

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 Austin, Texas, USA Office

Domain Tower 2, 10025 Altera Parkway 23rd Floor , Austin, TX, United States, 78728

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account