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Wise

Senior Marketing Data Analyst - Paid Social

London
£60k – £85k/yr
Posted about 19 hours ago
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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 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.


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).

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Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.


Additional Information

Some of our benefits:

  • 💰 Base salary of £60,000 - £85,000
  • 🚀 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.


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.


Compensation: GBP 60000 - GBP 85000 - yearly

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Skills

SQL
Python
R
Data analysis
A/B testing
dbt
Looker
Lightdash
Tableau
Marketing analytics
Paid social
Attribution modeling
Data visualization
Stakeholder communication
Snowflake
BigQuery

Location

London, England, United Kingdom

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