At a Glance
- Tasks: Drive product strategy and insights for innovative financial solutions.
- Company: Join Wise, a global leader in money management technology.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Other info: Diverse and inclusive culture with a focus on innovation.
- Why this job: Shape the future of finance while helping businesses thrive.
- Qualifications: Expert SQL skills and strong analytical mindset required.
The predicted salary is between 60000 - 80000 € per year.
Company Overview
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.
Job Description
We’re looking for several Senior Product Analysts to join Wise Business, our international business account. The Wise Business account helps small and medium‑size businesses across the world focus on growth. An increasing share of our 625,000+ business customers – and the 45,000+ businesses that join them every month – trust Wise with their day‑to‑day finances.
We are hiring Senior Product Analysts for several teams:
- Recurring Payins: We’re building a new product that will allow businesses to automate recurring pay-ins into their account(s) making it easier for them to collect revenue automatically and repeatedly.
- Expense Management: Time is money, and small businesses cannot waste theirs. The business expense management team simplifies global expense management for small businesses. They offer a solution that allows businesses to manage their team's spending in minutes, and maintain full control over international expenses.
As the analyst for either role, you’ll have the opportunity to help build the product from the ground up by partnering closely with the Product Manager and Engineering Lead, driving the strategic direction, feature prioritization, and optimization of the entire product lifecycle – from initial concept to global scale.
What You’ll Be Doing
- Strategy & Metrics
- Own the Numbers: Define, track, and socialize the core KPIs and OKRs for your product.
- Enable Data: Own necessary data logging and pipelines are built for accurate product tracking.
- Drive Insights: Conduct deep‑dive analysis to identify key opportunities, risks, and areas for optimization across the product funnel and influence decisions in your team through data.
- Execution
- Prioritize the Roadmap: Quantify the expected impact of potential features to help the Product Manager focus on the highest‑value initiatives.
- Partnership & Communication
- Be the Expert: Translate complex analytical findings into clear, actionable recommendations for the Product Team and broader leadership/stakeholders.
What You’ll Bring
- Expert‑level SQL skills with experience querying, manipulating and transforming large, complex, and relational datasets into functional pipelines.
- Experience designing and building automated data pipelines and transformations.
- Strong product thinking skills with the ability to translate understanding customer needs into defining the right problem statements, success metrics, and opportunity sizing.
- Strong understanding of statistical concepts that can ideally be leveraged through programming language (e.g. Python or R).
- Exceptional ability to translate raw data into clear narratives, business insights with the use of BI tooling (Looker, Tableau, Power BI), and actionable product decisions for technical and non‑technical audiences.
Nice to Have (but not essential)
- Prior experience successfully launching a net‑new product or product line (greenfield initiative).
- Prior experience in the B2B space understanding business customers’ financial and expense management needs.
- Familiarity with financial data reconciliation, risk analysis, or regulatory compliance within the FinTech space.
- Experience designing, launching, and analyzing A/B tests in a high‑volume product environment to drive measurable feature improvements.
Our Culture
We’re people building money without borders. We believe teams are strongest when they are diverse, equitable, and inclusive. If you want to find out what it’s like to work at Wise, visit Wise.Jobs. Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Senior Product Analyst - Recurring Payins employer: Dangote Industries Limited
Wise is an exceptional employer that champions innovation and inclusivity, making it a fantastic place for Senior Product Analysts to thrive. With a strong focus on employee growth, you will have the opportunity to shape groundbreaking products while collaborating with diverse teams in a dynamic environment. Located in a vibrant tech hub, Wise offers competitive benefits and a culture that values your contributions, ensuring you can make a meaningful impact on businesses worldwide.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analyst - Recurring Payins
✨Tip Number 1
Network like a pro! Reach out to current employees at Wise on LinkedIn and ask them about their experiences. A friendly chat can give you insider info and might even lead to a referral!
✨Tip Number 2
Prepare for the interview by diving deep into Wise's products and mission. Show us that you understand how your skills as a Senior Product Analyst can help shape the future of recurring pay-ins and expense management.
✨Tip Number 3
Practice your data storytelling! Be ready to explain complex analyses in simple terms. We want to see how you can turn numbers into actionable insights that resonate with both technical and non-technical folks.
✨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 us you’re genuinely interested in joining the Wise team.
We think you need these skills to ace Senior Product Analyst - Recurring Payins
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Product Analyst role. Highlight your SQL skills, product thinking, and any experience with data pipelines. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about Wise and how you can contribute to our mission. Be specific about your experience with recurring pay-ins or expense management if applicable.
Showcase Your Analytical Skills:In your application, don’t forget to showcase your analytical skills. Share examples of how you've used data to drive insights and decisions in previous roles. We love seeing how you can turn numbers into narratives!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Dangote Industries Limited
✨Know Your Numbers
As a Senior Product Analyst, you'll need to own the numbers. Brush up on your SQL skills and be ready to discuss how you've defined and tracked KPIs in previous roles. Prepare examples of how your data-driven insights have influenced product decisions.
✨Showcase Your Product Thinking
Wise is all about building products that make life easier for businesses. Be prepared to talk about how you translate customer needs into actionable product strategies. Think of specific instances where you've identified problems and proposed solutions that had a measurable impact.
✨Communicate Clearly
You’ll need to translate complex data into clear narratives. Practice explaining your analytical findings in simple terms. Use examples from your past experiences where you successfully communicated insights to both technical and non-technical audiences.
✨Be Ready for Technical Questions
Expect questions around statistical concepts and data pipeline design. Brush up on your knowledge of programming languages like Python or R, and be ready to discuss how you've used BI tools like Looker or Tableau to drive product decisions. Real-world examples will help you stand out!