Senior Marketing Data Analyst - Paid Social

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.