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For Companies At a Glance
- Tasks: Enhance marketing effectiveness through data analysis and attribution model maintenance.
- Company: Join Wise, a global tech leader revolutionising money management.
- Benefits: Competitive salary, flexible work, private medical insurance, and annual self-development budget.
- Why this job: Make a real impact on marketing strategies with your analytical skills.
- Qualifications: Bachelor’s degree in relevant fields and 2+ years in marketing analytics.
- Other info: Diverse and inclusive team culture with exciting group activities.
The predicted salary is between 60000 - 75000 £ per year.
hackajob is collaborating with Wise to connect them with exceptional tech professionals for this role. 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.
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
Some Of Our Benefits
- Base salary of £60,000 - £75,000 (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 - 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
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.
Senior Marketing Data Analyst - Marketing Science employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Analyst - Marketing Science
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn. A friendly message can go a long way in getting insider info and maybe even a referral.
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us how your skills align with their goals, especially around marketing effectiveness and data analysis.
✨Tip Number 3
Practice your storytelling skills with data. Be ready to explain complex analyses in simple terms, as this is key for communicating with marketing stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people at Wise.
We think you need these skills to ace Senior Marketing Data Analyst - Marketing Science
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Marketing Data Analyst role. Highlight your experience with marketing analytics, SQL, and any relevant tools like dbt. We want to see how your skills align with our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you're the perfect fit for this role. Share your passion for data analysis and how you can contribute to enhancing our attribution model. Let your personality shine through!
Showcase Your Analytical Skills: In your application, don’t forget to showcase specific examples of how you've used data to drive marketing decisions. We love seeing how you've turned complex datasets into actionable insights that have made a difference.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at hackajob
✨Know Your Numbers
As a Senior Marketing Data Analyst, you'll need to be comfortable with data. Brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past roles to drive marketing effectiveness.
✨Understand Attribution Models
Since you'll be enhancing attribution models, make sure you can explain what they are and how they work. Prepare examples of how you've previously contributed to or improved an attribution model, and be ready to discuss the impact it had on marketing strategies.
✨Tell a Story with Data
Your ability to translate complex datasets into clear narratives is crucial. Practice explaining a past project where you turned data insights into actionable strategies. This will show your potential employer that you can communicate effectively with non-technical stakeholders.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Wise's current marketing measurement practices and how they envision evolving their attribution model. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
