Wise

data analyst in marketing data activation

In short

Senior data analyst role at Wise, a global fintech building international money transfer and payment products, focused on marketing data activation. The job centers on owning Paid Media activation pipelines through the data warehouse and Reverse ETL, building observability for marketing data flows, and maintaining marketing datasets using SQL and dbt. It demands strong SQL, dbt/code-based transformation experience, familiarity with customer and marketing event data, and comfort working across Data Engineering, Analytics Engineering, and advertising platforms like Google Ads, Meta, and TikTok.</tldr> <parameter name="facts">{"city": "London", "country": "GB", "employment": "full_time", "industry": "fintech", "seniority": "senior", "skills": ["SQL", "dbt", "Reverse ETL", "Python", "Google Ads", "Meta", "TikTok", "Conversion APIs"], "work_mode": "onsite", "salary": {"currency": "RUB", "min": 685866, "max": 685866, "period": "month"}}

About Wise
Wise is a global technology company building a way to move and manage money worldwide. It helps people and businesses send money internationally, spend abroad, and make and receive international payments.
Responsibilities
•Take technical ownership of Paid Media activation through the data warehouse, Reverse ETL, and the surrounding data ecosystem
•Build production monitoring and observability for marketing activation pipelines, reducing reliance on manual checks
•Use SQL and dbt to build and maintain marketing datasets for customer audiences, conversion signals, and other activation use cases
•Work with Analytics Engineering and Data Engineering on modelling patterns, architecture, and standards, while developing ownership of the marketing-specific transformation layer
•Diagnose issues across the end-to-end data activation service
•Help teams choose between warehouse-based activation, the real-time tracking stack, an MMP such as Singular, another integration pattern, or work by an upstream Engineering/Data team
Requirements
•Use SQL to understand complex datasets and solve production problems
•Experience with dbt or another code-based data transformation framework and an understanding of maintainable data models
•Experience with production systems that move customer or event data between platforms
•Experience with customer or marketing data, including events, user attributes, and identifiers, and understanding of its impact on marketing performance
•Knowledge of event managers within advertising platforms such as Google Ads, Meta, and TikTok
•Comfortable collaborating with Data Engineers, Analytics Engineers, and Software Engineers
•Able to discuss technical trade-offs, contribute through Git/code review workflows, and recognize when a problem requires expertise outside the team
•Comfortable with ambiguity and able to investigate, structure, and drive unclear problems towards a solution
Nice to have
•Independently owning production processes or data models
•Python
•APIs and third-party integrations
•Advertising platform Conversion APIs (CAPIs)
•Identity resolution and customer and identity graphs
•Experience with Mobile Measurement Partners such as Singular or Appsflyer
Conditions
No conditions stated in the posting.

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