At a Glance
- Tasks: Lead data analytics for payment performance and drive product success through insights.
- Company: Top payment platform known for market-leading acceptance rates and innovative technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team focused on innovation and excellence in data analytics.
- Why this job: Make a real impact in the fintech space while leading a talented team.
- Qualifications: Experience in data science leadership and strong analytical skills required.
The predicted salary is between 80000 - 100000 £ per year.
Lead Data and Analytics for Payment Performance. We pride ourselves on being the best payment platform for achieving market leading acceptance rates through our Intelligent optimisation and fraud detection engine. As Senior Data Analytics Manager, you will own the data analytics delivery underpinning multiple products that define our competitive edge. You will provide direction for product success through insights, build data products that measure success and ROI for our payment performance engine. You will manage a team of Product Data Scientists and Analytics Engineers.
How you'll make an impact:
- Leadership: Own the data and analytics strategy for the product vertical, end-to-end delivery of insights and data products.
- Product Measurement & Insights: Working closely with pillar leaders you will set the bar for how data is used in product decision making and measuring the ROI of the payment performance product suite.
- Data Architecture: Gatekeeper for designing the right data architecture to create clean, cost efficient and reliable data pipelines that deliver high data quality and rich data instrumentation.
- Team Development: Build and develop a high performing data science and analytics engineering team.
What We're Looking For:
- Demonstrable multi year experience in leading data science, product analytics and/or data engineering teams.
- Proven track record in implementing measurement systems for product and system development, applying experimentation, causal inference and so forth.
- Experience in collaborating cross functionally with all levels of stakeholders, setting roadmaps, owning prioritization, and scoping for delivery.
- AI forward mindset and fluency in applying Gen AI in both delivery productivity as well as delivering data and analytics products.
- Demonstrable track record in managing and developing product data scientists and data engineers.
- Core analytics skills: data interrogation skills with SQL/Python, data modelling/engineering, applied statistics (e.g., hypothesis testing, regression, predictive modelling).
- Ideally, having worked with acceptance, fraud and cost optimisation within the context of payments or financial technology services.
- Robust understanding of how products should be instrumented, with the ability to optimise for rigor while considering cost and quality.
Senior Manager, Data Analytics London employer: Job Search Place Limited
As a leading payment platform based in London, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through our focus on developing high-performing teams and providing opportunities for professional advancement. With a culture that values data-driven decision-making and an AI-forward mindset, we empower our employees to make a meaningful impact in the fintech industry while enjoying a dynamic and supportive workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager, Data Analytics London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analytics projects, especially those that highlight your experience with SQL, Python, and product measurement. This will give you an edge and demonstrate your hands-on expertise.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data architecture and analytics strategies. Be ready to discuss how you've led teams and delivered insights in previous roles. Confidence is key!
✨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, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Senior Manager, Data Analytics London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience in leading data science and analytics teams, and don’t forget to showcase your skills in SQL/Python and product measurement systems. We want to see how you can bring value to our payment performance engine!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Senior Manager role. Share specific examples of your past successes in data analytics and team development. Remember, we love a good story that shows your impact!
Showcase Your Leadership Skills:As a Senior Manager, you'll be leading a team, so make sure to highlight your leadership experience. Talk about how you've built high-performing teams and collaborated with stakeholders. We’re looking for someone who can inspire and drive results!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of it. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Job Search Place Limited
✨Know Your Data Inside Out
Make sure you’re well-versed in the data analytics landscape, especially as it relates to payment performance. Brush up on your SQL and Python skills, and be ready to discuss how you've used these tools to drive insights and ROI in previous roles.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've built and developed high-performing teams in the past, and be ready to discuss your approach to mentoring product data scientists and analytics engineers.
✨Understand the Product Measurement Framework
Familiarise yourself with measurement systems and frameworks that apply to product development. Be prepared to talk about how you've implemented these systems in your previous roles, particularly in relation to experimentation and causal inference.
✨Be AI Savvy
With an AI-forward mindset being crucial for this role, think about how you've applied generative AI in your work. Have specific examples ready that showcase your fluency in using AI to enhance delivery productivity and develop data products.
