Senior Marketing Data Analyst - Paid Social
AI Summary
You will analyze paid social performance data to uncover optimization opportunities and design effective A/B testing frameworks. Additionally, you will manage the data infrastructure, build BI dashboards, and collaborate with cross-functional teams to drive marketing strategy.
The role requires at least 2 years of experience in a marketing analytics role with advanced SQL proficiency and experience in Python or R. Candidates must also possess strong stakeholder communication skills and a solid understanding of marketing metrics like CAC and LTV.
Job Details
Benefits
Key Skills
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.
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 Information
Some 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.
About Wise
Wise is a leading global technology company that simplifies international money transfers, enabling users to hold, move, and spend over 40 currencies seamlessly.