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- Tasks: Design data pipelines, optimise models, and create dashboards for marketing insights.
- Company: Join a global fintech scale-up transforming trading and investing for users worldwide.
- Benefits: Enjoy a competitive salary, performance bonuses, flexible benefits, and generous leave.
- Why this job: Be part of a high-impact role that drives smarter marketing decisions and fosters career growth.
- Qualifications: Strong SQL skills, experience with BI tools, and understanding of marketing data flows required.
- Other info: Hybrid work model with regular socials and volunteering opportunities.
The predicted salary is between 36000 - 60000 £ per year.
We're hiring: Data Analytics Engineer in London (Hybrid – 3 days in office) with a competitive salary + performance-based bonus and 12% flexible benefits.
I'm working with a global fintech scale-up on a mission to reimagine how people trade and invest. With hundreds of thousands of users worldwide and a strong presence across 18 countries, we’re looking for someone who can help harness the power of data to fuel smarter marketing decisions.
This is a high-impact role for someone who loves owning the full analytics engineering process from tracking and modelling through to dashboarding and strategic insight.
What you'll be doing:- Designing and maintaining data pipelines for marketing data sources
- Building and optimising models for marketing analytics and attribution
- Creating tracking frameworks and event schemas for performance marketing
- Developing self-serve dashboards and reporting systems
- Supporting campaign analysis, marketing performance reviews and ad hoc insights
- Ensuring data quality, accessibility and governance with the help of our data engineering team
- Experience in analytics engineering, BI, or a related role
- Strong SQL and data modelling skills
- Hands-on with modern BI tools like Looker or Tableau
- Understanding of ETL processes and marketing data flows
- Familiarity with attribution models and marketing metrics
- Experience working with version control and modern data stack tech
- Competitive salary + performance-based bonus
- 12% flexible benefits package
- Generous pension and private medical insurance
- Career development support incl. access to LinkedIn Learning
- Two volunteering days + your birthday off
- Matched giving for fundraising
- Regular socials, special interest groups and employee networks
Apply now and help us scale smarter!
Data Analyst employer: Propel
Contact Detail:
Propel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Looker or Tableau. Having hands-on experience with these BI tools will not only boost your confidence but also demonstrate your readiness to hit the ground running.
✨Tip Number 2
Brush up on your SQL skills and be prepared to discuss your experience with data modelling. You might be asked to solve a problem or explain how you've used SQL in past projects, so having concrete examples ready can really set you apart.
✨Tip Number 3
Understand the fundamentals of ETL processes and marketing data flows. Being able to articulate how you’ve designed or optimised data pipelines in previous roles will show that you have the technical know-how they’re looking for.
✨Tip Number 4
Prepare to discuss your approach to ensuring data quality and governance. This is crucial in analytics engineering, so think about how you've tackled these challenges in the past and be ready to share those insights during your conversation.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in analytics engineering, SQL, and BI tools like Looker or Tableau. Use keywords from the job description to demonstrate that you meet their requirements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data analytics and how your skills align with the company's mission. Mention specific projects where you've designed data pipelines or created dashboards.
Showcase Your Technical Skills: In your application, provide examples of your hands-on experience with ETL processes and marketing data flows. If possible, include links to any relevant projects or dashboards you've developed.
Proofread and Edit: Before submitting your application, carefully proofread all documents for spelling and grammatical errors. A polished application reflects your attention to detail, which is crucial for a Data Analyst role.
How to prepare for a job interview at Propel
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL and data modelling during the interview. Be prepared to discuss specific projects where you've used these skills, as well as any modern BI tools like Looker or Tableau that you've worked with.
✨Understand the Company’s Mission
Research the fintech scale-up's mission to reimagine trading and investing. Demonstrating an understanding of their goals and how your role as a Data Analyst can contribute will show your genuine interest in the position.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities, especially related to analytics engineering and marketing data flows. Prepare examples of how you've designed data pipelines or optimised models in previous roles.
✨Ask Insightful Questions
At the end of the interview, ask questions that reflect your knowledge of data quality, governance, and the importance of self-serve dashboards. This shows that you are not only interested in the role but also in contributing to the company's success.
