Senior Marketing Data Analyst - Marketing Science
WiseJobsCloseBy Editorial Insights
Wise is hiring a Senior Marketing Data Analyst to join Marketing Science in London onsite to help build a measurement framework that drives growth through experimentation MMM and attribution. You will own the attribution logic, maintain dbt pipelines, and partner with Data Science and Marketing teams to deliver dashboards for performance. Ideal candidate has a bachelor’s in statistics or economics, 2 years in marketing analytics, strong SQL and Python or R, with dbt experience a plus; familiarity with attribution models or MMP data is advantageous, as is familiarity with Looker. In your application, highlight measurable impact, data storytelling, cross functional collaboration, and dashboards. Wise champions diversity and inclusion.
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 an analytical and curious Senior Marketing Data Analyst to join our Marketing Science team. Our mission is to fuel sustainable growth by measuring marketing effectiveness - building a unified measurement framework based on experimentation, Marketing Mix Models and tracked attribution.
Your Mission
In this role, you will help us build our best representation of marketing effectiveness by enhancing and maintaining our attribution model. You will partner with our Lead Analyst to own the code and define our attribution logic while partnering with marketing teams to ensure every £ is spent efficiently.
Key Responsibilities
Maintain and enhance our attribution model logic. Use dbt to maintain data pipelines, refine attribution rules, and implement new logic as our channel mix and marketing effectiveness understanding evolves.
Ensure the accuracy of marketing data integrity in our attribution model.
Work with the Data Science, Acquisition and marketing teams to evolve our model.
Build dashboards that allow marketing stakeholders to self-serve daily performance metrics.
Translate complex datasets and modelling results into clear, non-technical narratives for marketing stakeholders.
Execute detailed, in-depth analyses to identify improvement opportunity areas in our current measurement capabilities and propose solutions.
You will help us improve our measurement confidence level by identifying certainty gaps and proposing ways to bridge those gaps.
You will contribute defining impactful OKRs to work throughout the half of the year.
Qualifications
Bachelor’s degree in Statistics, Economics, or other relevant fields.
2+ years of experience in a marketing analytics or data analytics role.
Advanced SQL skills, Python/R and dbt are advantageous.
You are able to demonstrate that you can tell a story with data and proactively give guidance on strategy based on insights.
Experience working with attribution models/MMP data is advantageous.
Experience with data visualisation tools (example, Looker, Power BI, LightDash).
Understanding of performance marketing is advantageous.
Additional Information
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.
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