At a Glance
- Tasks: Lead data analytics for a cutting-edge fintech app and optimise marketing campaigns.
- Company: Join a leading fintech company with a focus on innovation and collaboration.
- Benefits: Competitive salary, equity options, and flexible remote work on Mondays and Fridays.
- Why this job: Make a real impact in a dynamic environment while working with top-notch data tools.
- Qualifications: 3+ years in analytics, strong SQL and Python skills, and expertise in funnel optimisation.
- Other info: Exciting opportunity for career growth in a fast-paced industry.
The predicted salary is between 36000 - 60000 £ per year.
A leading fintech company is seeking an experienced Senior Marketing Scientist to lead data analytics for its innovative multi-product app. You will analyze marketing campaign performance across various channels, drive experimentation rigor, and collaborate closely with product and credit managers.
The ideal candidate has over 3 years of experience in analytics, strong SQL and Python skills, and excels in optimizing funnels and segmentation.
This role offers competitive compensation, including equity, and remote work options on Mondays and Fridays.
Growth Marketing Data Scientist (Remote-friendly + Equity) employer: Lendable Ltd
Contact Detail:
Lendable Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Growth Marketing Data Scientist (Remote-friendly + Equity)
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space on LinkedIn or at industry events. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially those involving SQL and Python. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of marketing funnels and segmentation strategies. Be ready to discuss how you've optimised campaigns in the past – real examples go a long way!
✨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. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Growth Marketing Data Scientist (Remote-friendly + Equity)
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools to drive results in your previous roles, especially in analytics and marketing.
Be Specific About Your Experience: When detailing your experience, focus on specific projects where you optimised funnels or worked on segmentation. We love numbers, so if you can quantify your impact, even better!
Tailor Your Application: Don’t just send a generic application. Take the time to tailor your CV and cover letter to reflect the requirements of the Growth Marketing Data Scientist role. We appreciate when candidates show they understand what we’re looking for.
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 don’t miss out on any important updates from our team.
How to prepare for a job interview at Lendable Ltd
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics tools and techniques relevant to the role. Brush up on your SQL and Python skills, and be ready to discuss how you've used them to optimise marketing funnels and segmentation in past projects.
✨Showcase Your Experimentation Mindset
Prepare examples of how you've driven experimentation in previous roles. Be ready to explain your approach to A/B testing and how you’ve used data to inform marketing strategies. This will demonstrate your ability to lead data analytics effectively.
✨Understand the Fintech Landscape
Familiarise yourself with the fintech industry and the specific challenges it faces. Being able to discuss current trends and how they impact marketing strategies will show that you’re not just a data whiz but also understand the business context.
✨Collaborate and Communicate
Since this role involves working closely with product and credit managers, think about how you can demonstrate your collaboration skills. Prepare to discuss how you’ve worked cross-functionally in the past and how you communicate complex data insights to non-technical stakeholders.