Senior Marketing Data Analyst Marketing Science
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Job Location:
Monthly Salary:
Posted on:
12 hours ago
Vacancies:
1 Vacancy
Job Summary
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
Bachelors 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 :
Some of our benefits:
Base salary of 60000 - 75000 (based on experience)
RSUs in a growing and public company
Work from (almost) anywhere in the world for up to 90 days a year
Flexible working - youre 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. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Loyalty Marketing
- Marketing
- Google Analytics
- Pardot
- Attribution Modeling
- Pivot tables
- Salesforce Marketing Cloud
- Data Visualization
- Tableau
- Customer Segmentation
- Market Research
- Analytics
About Company
Wise is a global technology company, building the best way to move money around the world. With the Wise account people and businesses can hold 40+ currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new cro ... View more
