Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Analytics Manager - Marketing Acquisition

Wise
London
7 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist - Borrow Analytics Manager

Data Scientist - Borrow Analytics Manager

Data Scientist - Borrow Analytics Manager

Data Scientist - Borrow Analytics Manager

Data Scientist - Borrow Analytics Manager

Data Science Manager (Market Research)

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 life 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 .

Job Description

We are looking for a highly skilled and experienced Analytics Manager to take over our Marketing Analytics Acquisition team and drive impactful insights across both paid and organic channels. In this role, you will have the opportunity to make a significant impact on Wise growth while leading a talented team of two analysts.

Your mission

You will be at the forefront of our marketing analytics efforts across a wide range of channels including paid search, social, display audio and organic SEO. Your mission will be to enhance our customer acquisition strategy and optimise marketing spend. You will have the opportunity to lead and shape a team of two great analysts, guiding them and ensuring the team is delivering impactful outcomes.

Here’s how you’ll be contributing:

Guide and develop the analysts in the team, shaping the strategic direction of marketing acquisition initiatives.

Collaborate with marketing leads to align team objectives and define OKRs.

Leverage your expertise to deliver actionable insights that maximise the effectiveness and efficiency of marketing acquisition efforts, ensuring optimal return on investment. 

Conduct statistical analyses (such as, A/B tests) on paid and organic channels to identify growth opportunities.

Identify and present opportunities for optimisation to senior stakeholders, focusing on audience targeting, bidding strategies, ad creative, and other key campaign elements.

Conduct cross-channel analysis to assess the interaction between acquisition marketing channels and identify synergies or cannibalisation effects to influence their strategy.

Build data models and contribute to reporting and visualisations for both paid and organic acquisition marketing.

This role will give you the opportunity to:

Be part of our mission to make money without borders!

Play a key role in shaping a data-driven strategy for marketing acquisition and developing a team of analysts.

Collaborate with diverse teams such as marketing, analytics, data science, finance and engineering.

Work with an extensive dataset of over 16 million customers.

Work with a modern data stack including dbt and Looker.

Qualifications

Experience in marketing analytics, with a strong understanding of both paid and organic channels.

Experience leading a small team of analysts.

Strong skills in managing projects and collaborating with stakeholders.

Familiarity with attribution, marketing mix models and SEO tools like Google Analytics, Google Search console, among others.

Experience with digital marketing platforms such as Google Ads, Facebook Ads, and programmatic advertising - and have a strong understanding of key performance indicators for paid acquisition campaigns.

Experience running A/B tests, statistical analyses, and optimising paid channels.

Familiarity with Mobile Measurement Partner (MMP) data.

Note that you don’t need to have all of the above but they would be favourable.

Strong analytical and problem-solving skills.

Ability to tell a story with data and provide actionable insights.

Advanced SQL and Python/R skills, and can work with complex data models.

Experience with data visualisation tools (Looker, Superset, etc.).

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 .

Keep up to date with life at Wise by following us on and .

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.