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For Companies At a Glance
- Tasks: Enhance marketing attribution models and analyse data to drive effective strategies.
- Company: Join Wise, a global tech leader transforming how money moves.
- Benefits: Competitive salary, flexible work, private medical insurance, and generous leave policies.
- Why this job: Make a real impact on marketing effectiveness while working with cutting-edge data tools.
- Qualifications: Bachelor’s degree in relevant fields and 2+ years in marketing analytics.
- Other info: Diverse and inclusive team culture with excellent career growth opportunities.
The predicted salary is between 48000 - 60000 £ per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Our mission is to make lives easier and save money for people and businesses sending money internationally.
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
- Help build our best representation of marketing effectiveness by enhancing and maintaining our attribution model.
- Partner with our Lead Analyst to own the code and define our attribution logic while collaborating 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.
- Improve our measurement confidence level by identifying certainty gaps and proposing ways to bridge those gaps.
- Contribute to 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.
- Ability to 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 (e.g., Looker, Power BI, LightDash).
- Understanding of performance marketing is advantageous.
Additional Information
- 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 board game nights.
We believe teams are strongest when they are diverse, equitable, and inclusive. We celebrate our differences and ensure every Wiser feels respected, empowered to contribute towards our mission, and able to progress in their careers.
Senior Marketing Data Analyst - Marketing Science in London employer: hackajob
Contact Detail:
hackajob Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Marketing Data Analyst - Marketing Science in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn and ask them about their experiences. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your SQL and data visualisation skills. Be ready to showcase how you've used data to drive marketing decisions in the past. We want to see your analytical prowess!
✨Tip Number 3
Don’t just talk numbers; tell a story! Practice explaining complex data insights in simple terms. This will show that you can communicate effectively with non-technical stakeholders, which is key for this role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining the Wise team. Let’s get you on board!
We think you need these skills to ace Senior Marketing Data Analyst - Marketing Science in London
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. Keep it engaging and personal!
Showcase Your Analytical Skills: In your application, don’t shy away from showcasing your analytical prowess. Include examples of how you've used data to drive marketing decisions or improve performance metrics. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you get all the updates directly from us. Plus, it’s super easy!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
As a Senior Marketing Data Analyst, you'll be expected to have a solid grasp of data analytics. Brush up on your SQL and Python skills, and be ready to discuss how you've used these tools in past roles. Prepare examples of how you've maintained or enhanced attribution models, as this will show your hands-on experience.
✨Tell a Compelling Story with Data
It's not just about crunching numbers; it's about translating complex datasets into clear narratives. Think of instances where you've turned data insights into actionable strategies for marketing teams. Practise explaining your findings in a way that even non-technical stakeholders can understand.
✨Familiarise Yourself with Attribution Models
Since the role involves enhancing attribution logic, make sure you understand different attribution models and their implications. Be prepared to discuss any experience you have with MMP data and how it has influenced marketing decisions in your previous roles.
✨Show Your Collaborative Spirit
This position requires working closely with various teams, so highlight your teamwork skills. Prepare examples of how you've collaborated with marketing or data science teams to improve measurement capabilities. Emphasise your ability to communicate effectively across departments to ensure everyone is aligned.
