At a Glance
- Tasks: Drive strategy with data insights and enhance product decisions for Wise Business.
- Company: Join Wise, a global tech leader transforming how money moves worldwide.
- Benefits: Competitive salary, stock options, hybrid work, and generous leave policies.
- Other info: Diverse and inclusive team culture with excellent career growth opportunities.
- Why this job: Make a real impact on businesses globally while developing your analytical skills.
- Qualifications: 5+ years in analytics, SQL expertise, and strong communication skills.
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 life 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.
We’re looking for a Lead Product Analyst to support our Business Operations team, working on 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. The Business Operations team operates at the intersection of Product and Servicing, ensuring that our servicing scales in line with the evolution of the product whilst tackling key pain points our customers experience in dealing with our servicing teams.
Responsibilities
- Derive actionable insights from data to drive the team's strategy and inform product decisions.
- Establish clear goals, define measurable KPIs, and develop compelling narratives to help your team understand their progress.
- Ensure accurate, impactful, fast decision making with high quality analysis, helping us to iterate faster.
- Build automated data pipelines and dashboards to minimise repetitive tasks and allow data self‑serve.
- Identify & evaluate high impact opportunities, find ways to support & accelerate or identify and advocate for better alternatives.
- Take ownership of complex cross‑team projects; in particular help product & operational teams across Wise Business better understand and size the impact of friction originating from their domains on customer retention so they can better prioritise fixing them.
Qualifications
- Technical Skills: 5+ years experience in analytical roles with strong data analysis skills. You’re an expert in SQL and you know your way around BI platforms (Looker, Tableau) to enable self‑service analytics.
- Ownership: You enjoy working independently in a fast‑paced environment, identifying impactful opportunities and making them happen, triage requests by impact and you know when and how to adapt analysis scope to achieve 80/20 results.
- Communication: Excellent verbal and written communicator – you cut through the noise, communicating what matters in a way that people get it. You’re an expert at crafting dashboards and visualisations that bring data to life, tell a story and have diagnostic power.
- Influence: You have strong stakeholder management skills – you are collaborative, you know how to influence using data 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.
Nice to Have
- Prior experience in the B2B space understanding business customers' financial and expense management needs.
- Prior experience working with customer support, fincrime or servicing analytics.
Benefits
- Salary: £75,000 - £115,000
- Company Restricted Stock Units
- Numerous great benefits in our London office
- 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
EEO Statement
We believe teams are strongest when they are diverse, equitable and inclusive. We are proud to have a truly international team and we celebrate our differences. Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.
Lead Product Analyst - Business Operations - Wise Buisness employer: Wise
Wise is an exceptional employer that champions a diverse and inclusive work culture, offering employees the opportunity to make a significant impact in the world of finance. With competitive salaries, generous benefits including a six-week sabbatical after four years, and a commitment to employee growth, Wise empowers its team members to thrive in a fast-paced environment while supporting small and medium-sized businesses globally.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Business Operations - Wise Buisness
✨Get to Grips with Data Visualisation Tools
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✨Join Local Business Intelligence Meetups
Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Wise!
✨Engage with Online BI Communities
Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.
✨Leverage Your University’s Career Support
If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!
We think you need these skills to ace Lead Product Analyst - Business Operations - Wise Buisness
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Wise, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Wise
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Wise’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.