At a Glance
- Tasks: Drive product strategy and insights for Wise Business, helping businesses grow globally.
- Company: Join Wise, a global leader in money management with a mission to simplify finances.
- Benefits: Inclusive culture, diverse team, and opportunities for career progression.
- Other info: Dynamic work environment with a focus on diversity and inclusion.
- Why this job: Be part of building innovative financial solutions that impact businesses worldwide.
- Qualifications: Expert SQL skills, strong analytical mindset, and product thinking abilities.
The predicted salary is between 60000 - 80000 £ 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.
The Wise Business account helps small and medium-sized businesses across the world focus on what matters most to them: 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.
You’ll have the amazing 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 ensure 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 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.
Please note we are not able to offer visa sponsorship for this level.
We're people building money without borders— without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive. We're 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.
If you want to find out more about 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 - Wise Business in Birmingham employer: Wise
Wise is an exceptional employer that prioritises the well-being and professional growth of its employees. With a dynamic work culture that fosters innovation and collaboration, team members are encouraged to develop their skills while contributing to meaningful resilience strategies on a global scale. Located in a vibrant city, Wise offers competitive benefits and unique opportunities for career advancement, making it an ideal place for those seeking a rewarding and impactful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Analyst - Wise Business in Birmingham
✨Get to Grips with Data Visualisation Tools
If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.
✨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 Senior Product Analyst - Wise Business in Birmingham
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.
