At a Glance
- Tasks: Lead data analytics strategy and manage a high-performing team to optimise payment performance.
- Company: Join a leading payment platform known for its innovative fraud detection and optimisation technology.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on AI and cutting-edge data solutions.
- Why this job: Make a real impact by driving insights that enhance product success in the fintech space.
- Qualifications: Extensive 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 cutting-edge technology, we empower our employees to make a meaningful impact in the financial technology sector.
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
Prepare for interviews by practising common questions and scenarios related to data analytics and team leadership. Use the STAR method (Situation, Task, Action, Result) to structure your answers and showcase your experience effectively.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve worked on relevant data products or analytics strategies, be ready to discuss them in detail. This will demonstrate your hands-on experience and problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Manager, Data Analytics London
Some tips for your application 🫡
Show Your Leadership Skills:Make sure to highlight your experience in leading data science and analytics teams. We want to see how you've driven product success through insights and data products, so share specific examples of your leadership style and achievements.
Demonstrate Your Technical Expertise:We’re looking for someone with solid core analytics skills. Be sure to mention your proficiency in SQL, Python, and any relevant data modelling or engineering experience. Show us how you’ve applied these skills in real-world scenarios!
Highlight Cross-Functional Collaboration:Collaboration is key! Share instances where you've worked with different stakeholders to set roadmaps and prioritise projects. We want to know how you’ve navigated cross-functional teams to achieve product goals.
Tailor Your Application:Take the time to tailor your application to our job description. Use the same language and focus on the skills and experiences that align with what we’re looking for. And remember, applying through our website is the best way to get noticed!
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 high-performing teams in the past, focusing on your approach to team development and collaboration with cross-functional stakeholders.
✨Be Ready to Discuss Data Architecture
Understand the importance of clean and reliable data pipelines. Be prepared to talk about your experience designing data architectures that ensure high data quality and how you've tackled challenges in this area.
✨Highlight Your AI Forward Mindset
With an emphasis on Gen AI, think about how you've applied AI in your previous roles. Be ready to share specific examples of how you've leveraged AI to enhance productivity or improve data analytics products.
