At a Glance
- Tasks: Lead a team of analysts to optimise customer acquisition and engagement through data-driven strategies.
- Company: Join Wise, a global tech company on a mission to simplify money management for everyone.
- Benefits: Inclusive workplace, competitive salary, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement opportunities in a supportive culture.
- Why this job: Make a real impact in a fast-paced environment while leading innovative analytics projects.
- Qualifications: 4+ years in analytics with leadership experience and strong analytical skills.
The predicted salary is between 70000 - 90000 £ per year.
This job is with Wise, an inclusive employer and a global technology company, building the best way to move and manage the world’s money. Wise is on a mission to make lives easier and save money for people and businesses sending money internationally.
THE ROLE
We're looking for a Senior Product Analytics Manager to lead analytics for Scalable Growth Pod at Wise. You’ll lead a team of 5 analysts, focusing on bringing high quality customers with low marketing cost, reporting into Onboarding and Scalable Growth Squad Analytics Lead. The Scalable Growth pod focuses on optimising customer acquisition and engagement by strategically structuring its product engineering teams. The pod comprises several key areas including: Recommend, Organic Growth, and Marketing Platform. The pod aims to leverage data effectively to drive impactful initiatives and provide customers with compelling reasons to choose Wise, making robust analytical leadership crucial for achieving these objectives.
WHAT YOU'LL DO
- Partner with Product/Engineering/Design leads to identify opportunities to improve our product and bring them to life; review team plans and progress, giving them effective feedback.
- Create and communicate a clear picture of progress against product goals.
- Ensure that we have clear goals, measurable KPIs, narrate our progress and drive action to accelerate progress.
- Own data strategy for Scalable Growth Analytics: define the roadmap to build the data and tools necessary to scale impact.
- Increase the speed and effectiveness of decision making across the squad.
- Lead, develop and support a team of high performing analysts.
- Support analyst professional development via performance feedback, hire and plan capacity and ensure that analyst efforts maximise impact.
WHAT YOU'LL BRING
- 4+ years experience in analytics with 1+ years leading analysts.
- Experience working with product teams: identifying and evaluating opportunities that will maximise impact for customers and KPI progress; evaluating the impact of what you shipped; recommending changes and new initiatives.
- Analytical thinker with strong analysis skills (SQL, Python), data modelling (e.g. airflow, dbt) and experience using event data (e.g. Mixpanel).
- Hands-on experience designing and running experiments.
- Bias to action: you identify what needs to be done and make it happen.
- Ability to work independently in a fast-paced environment.
Senior Product Analytics Manager - Scalable Growth employer: Wise
Wise is an exceptional employer that champions inclusivity and innovation, making it a fantastic place for professionals seeking meaningful work in the tech industry. With a strong focus on employee growth, Wise offers ample opportunities for career advancement and skill development, all within a collaborative and dynamic work culture. Located in a vibrant environment, employees benefit from a supportive atmosphere that encourages creativity and impactful contributions to the mission of transforming global money management.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analytics Manager - Scalable Growth
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Prepare for interviews by researching Wise and its mission. Understand their products and think about how your skills can help them grow. Show them you’re not just another candidate!
✨Tip Number 3
Practice your storytelling skills. Be ready to share specific examples of your past work, especially how you've led teams and driven impactful results. Make it relatable and engaging!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Senior Product Analytics Manager - Scalable Growth
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Product Analytics Manager role. Highlight your experience in analytics and leadership, and don’t forget to showcase any relevant projects that demonstrate your ability to drive growth and impact.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re passionate about Wise and how your skills align with our mission. Be specific about your achievements and how they relate to the role.
Showcase Your Analytical Skills:Since this role is all about analytics, make sure to highlight your technical skills like SQL and Python. Share examples of how you've used data to inform decisions and drive results in previous roles.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Wise
✨Know Your Numbers
As a Senior Product Analytics Manager, you'll need to demonstrate your analytical prowess. Brush up on key metrics and KPIs relevant to Wise's mission. Be ready to discuss how you've used data to drive decisions in previous roles, and prepare examples that showcase your impact.
✨Showcase Your Leadership Skills
Leading a team of analysts is a big part of this role. Think about your leadership style and be prepared to share specific instances where you've developed your team or improved their performance. Highlight how you provide feedback and support professional development.
✨Familiarise Yourself with the Product
Wise is all about optimising customer acquisition and engagement. Take some time to understand their product offerings and think about potential areas for improvement. Bring your ideas to the interview and be ready to discuss how you would partner with product, engineering, and design leads.
✨Prepare for Technical Questions
Expect questions that test your technical skills, especially in SQL and Python. Brush up on your data modelling knowledge and be ready to discuss how you've designed and run experiments. Practice explaining complex concepts in a simple way, as communication is key in this role.
