At a Glance
- Tasks: Lead data analysis to enhance customer experience and product reliability.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Make a real impact on how people manage their money globally.
- Qualifications: 5+ years in analytics, strong SQL & Python skills, and stakeholder management.
The predicted salary is between 75000 - 115000 € per year.
Wise is a global technology company, building the best way to move and manage the world’s money. Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.
The Mission
Our High Volume customers have the most complex transfer requirements and rely on us most heavily to get it right. Your mission is to understand exactly what these customers need, pinpoint where their experience breaks down, and help the team focus on solving their most critical challenges. By bridging the gap between data and product strategy, you will make our product more predictable and build the trust required for customers to move significant capital with ease.
The Problem Spaces You’ll Own
- Verification & Predictability: Verification is a major investment area for our pod. You will lead insight generation and impact tracking to improve how we verify transfers—specifically clarifying documentation requirements and removing friction from the process. You’ll help us look around the corner to determine what the team should focus on next to make this journey seamless.
- Elevating the Level of Service: Some challenges require more than just an in-product fix. You will analyze how we can improve our response times and service quality to ensure customers feel supported throughout their journey. You will help define the strategy for how we scale our support operations and identify which customer segments require more specialized attention to prevent churn.
- Predictability as a Growth Lever: You will operate on the principle that "To Fix is to Grow." By improving the reliability of our product and the efficiency of our service, you will directly influence customer retention and unlock further growth.
Qualifications
WHAT YOU’LL BRING
- Technical Skills: 5+ years experience in analytical roles with strong data analysis skills (SQL & Python). Experience conducting regular A/B tests and causal analyses to determine impact of product changes on defined metrics.
- KPI Setting: Experience partnering with Product Managers and other Analysts to set KPIs and monitor the impact of new product features on conversion, stickiness and engagement.
- Influence: Strong stakeholder management skills - you are collaborative, know how to influence and when to say yes or no to maximise impact. You have a bias to action - you identify what needs to be done and make it happen.
- First Principles Thinking: You can take an ambiguous, open ended problem, structure it and solve it. Ensuring the team is working on the most impactful opportunities.
Nice To Have But Not Essential
- Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker.
- Practically used + applied AI / machine learning techniques and built predictive models to get deeper insights.
- Knowledge of the FinTech ecosystem.
What Do We Offer
- Salary: £75,000 - £115,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
Key Benefits
- Hybrid working
- Paid annual holiday, sick days, parental leave and other leave opportunities
- 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave
We believe teams are strongest when they are diverse, equitable and inclusive. We celebrate our differences and strive for an inclusive culture. For more information, visit Wise.Jobs.
Lead Product Analyst - Send employer: hackajob
Wise is an exceptional employer that champions a diverse and inclusive work culture, offering employees the opportunity to contribute to a mission-driven company focused on revolutionising the way money is managed globally. With competitive salaries, hybrid working options, and generous benefits including a six-week paid sabbatical after four years, Wise fosters an environment where professional growth and employee well-being are prioritised, making it an ideal place for those seeking meaningful and rewarding careers in the FinTech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Send
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Wise through LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Wise's mission and values. Show us how your experience aligns with their goals, especially around improving customer experiences and driving product predictability.
✨Tip Number 3
Practice your data storytelling skills! Be ready to discuss how you've used data analysis to influence product decisions in the past. We want to see how you can bridge the gap between data and strategy.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the Wise team and making an impact.
We think you need these skills to ace Lead Product Analyst - Send
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Lead Product Analyst role. Highlight your analytical skills, experience with SQL and Python, and any relevant projects that showcase your ability to drive product strategy.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Wise's mission and how your experience aligns with the challenges outlined in the job description. Be genuine and let your personality come through.
Showcase Your Impact:When detailing your past experiences, focus on the impact you've made. Use metrics and specific examples to demonstrate how your work has improved processes or outcomes, especially in areas like customer retention and service quality.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to see your application and ensures you’re considered for this exciting opportunity at Wise!
How to prepare for a job interview at hackajob
✨Know Your Data Inside Out
As a Lead Product Analyst, you'll be expected to have a strong grasp of data analysis tools like SQL and Python. Brush up on your technical skills and be ready to discuss specific examples of how you've used data to drive product decisions in the past.
✨Understand the Customer Journey
Wise is all about making money transfers seamless for customers. Familiarise yourself with the customer experience and think about potential pain points. Be prepared to share insights on how you would improve verification processes or service quality based on your analysis.
✨Showcase Your Collaborative Spirit
Stakeholder management is key in this role. Think of examples where you've successfully influenced cross-functional teams or collaborated with product managers. Highlight your ability to work well with others and how you can drive impactful results together.
✨Think Like a Problem Solver
The job requires first principles thinking to tackle complex challenges. Prepare to discuss how you've approached ambiguous problems in the past. Share your thought process on structuring these issues and the steps you took to find effective solutions.
