Senior Marketing Data Analyst - Marketing Science

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.

Some of our benefits:

💰Base salary of £60,000 - £75,000 (based on experience)

🚀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.

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.