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 DescriptionWe are looking for a results-oriented Senior Data Analyst to join our Marketing Analytics team at Wise. Our mission, "Money Without Borders," inspires us to create the best ways to move and manage money globally. If you're excited about this mission and want to make a real impact, this role is perfect for you. You'll work closely with our Paid Social Marketing team to develop strategies that boost our performance across paid social platforms including Meta, TikTok, Reddit, Snapchat, and emerging channels we're keen to expand into (such as X and Pinterest).
Key Responsibilities
Analyse the utilisation of audiences (including Lookalike audiences), and platform performance data to uncover optimisation opportunities across bidding, budgets, and testing.
Design and validate measurement signals through clean A/B testing (bonus: reconciling platform data against source-of-truth).
Own the paid social data infrastructure - building dbt pipelines and monitoring pipeline health to ensure data reliability.
Build, maintain, and audit BI dashboards (e.g. Looker, Lightdash) so stakeholders can self-serve reliable performance data.
Develop reusable analytical frameworks to quantify budget optimisation potential and independently trace anomalies to root cause.
Partner closely with Paid Social Managers, translating insights into strategy and proactively flagging risks and trade-offs.
Collaborate cross-functionally with Marketing Platform, Data Science, Marketing Science, and Analytics Engineering, staying agile to shifting dependencies.
Stay current with paid social trends in optimisation, tracking, and measurement.
Qualifications
2+ years in a data/analytics role within the marketing domain, with hands-on experience designing and validating experiments (e.g. test-vs-control setups).
Advanced SQL - comfortable writing multi-CTE queries against a cloud warehouse (Snowflake/BigQuery) unaided.
Proficiency in Python or R.
Experience building and maintaining dashboards/reports in a BI tool (e.g. Lightdash, Tableau).
Data quality mindset - auditing and fixing data discrepancies.
Familiarity with different attribution models and a general understanding of the limitations and trade-offs involved in measuring marketing performance.
Core unit economics fluency - CAC, LTV and contribution margin.
Strong stakeholder communication - comfortable explaining complex analysis to non-technical audiences and raising concerns or trade-offs proactively.
Nice to Haves
Proven dbt pipeline experience.
Familiarity with major paid social platforms (Meta, TikTok, Reddit, Snapchat).
Saturation/response curve modelling and budget optimisation experience.
Understanding of incrementality testing and Marketing Mix Modelling.
Experience with event-delivery and server-side tracking tools (e.g. Hightouch, CAPI) and click-ID based measurement (fbclid, ttclid, rdt_cid, sccid).
Experience with MMPs (Singular, AppsFlyer, Adjust).
Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
Additional InformationSome of our benefits:
💰Base salary of £60,000 - £85,000
🚀RSU's in a growing and public company
🏥 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
🐶 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.
Skills Required
- 2+ years of experience in a data or analytics role within marketing
- Hands-on experience designing and validating experiments, such as test-versus-control setups
- Advanced SQL, including unaided multi-CTE queries against Snowflake or BigQuery
- Proficiency in Python or R
- Experience building and maintaining dashboards or reports in a BI tool such as Lightdash or Tableau
- Experience auditing and fixing data discrepancies
- Familiarity with attribution models and marketing measurement limitations and trade-offs
- Fluency in CAC, LTV, and contribution margin unit economics
- Strong stakeholder communication skills, including explaining complex analysis to nontechnical audiences
- Proven dbt pipeline experience
- Familiarity with major paid social platforms, including Meta, TikTok, Reddit, and Snapchat
- Saturation or response curve modeling and budget optimization experience
- Understanding of incrementality testing and Marketing Mix Modeling
- Experience with event-delivery and server-side tracking tools, such as Hightouch or CAPI
- Experience with click-ID-based measurement, including fbclid, ttclid, rdt_cid, or sccid
- Experience with mobile measurement platforms, including Singular, AppsFlyer, or Adjust
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, 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 network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
