At a Glance
- Tasks: Drive product strategy through data insights and lead impactful projects.
- Company: Join Wise, a global leader in money management technology.
- Benefits: Competitive salary, hybrid working, generous leave, and stock options.
- Other info: Diverse and inclusive team culture with great career progression opportunities.
- Why this job: Make a real difference in how businesses manage their finances globally.
- Qualifications: 5+ years in analytics, strong SQL skills, and excellent communication.
The predicted salary is between 75000 - 115000 £ per year.
hackajob is collaborating with Wise to connect them with exceptional professionals for this role.
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 join Wise Business Squad, our international business account. 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.
We are hiring a Lead Product Analyst for the Business Account Management Team. The Business Account Management Team is responsible for one of our most critical product areas: Multi-User Access (MUA). This essential feature enables our customers to scale by adding team members to their accounts, granting them the flexibility to delegate tasks and streamline their business operations. As we move up-market, the team plays a pivotal role in solving complex challenges related to product adoption and feature depth, specifically tailored to meet the sophisticated needs of larger business entities.
WHAT YOU'LL BE DOING
- 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.
- Identify & evaluate high impact opportunities, find ways to support & accelerate or identify and advocate for better alternatives.
- Ensure accurate, impactful, fast decision making with high quality analysis, raising the bar for A/B testing and helping us to iterate faster.
- Build automated data pipelines and dashboards to minimise repetitive tasks and allow data self-serve.
- Take ownership of complex cross-team projects to help unblock critical product decisions, this could range from tactical decisions to control fraud & chargeback risk to strategic decisions on the right pricing (models) for our products.
WHAT YOU'LL BRING
- Technical Skills: 5+ years experience in analytical roles with strong data analysis skills. You're an expert in SQL (with the ability to write clear, performant, and reliable queries to transform large complex datasets). You have experience building and owning automated data pipelines with tools like DBT/Airflow.
- Experimentation & Statistics: Experience running A/B tests and analysing the results to drive product decisions.
- 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 BUT NOT ESSENTIAL
- 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.
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.
What do we offer:
- 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
StudySmarter Expert Advice🤫
We think this is how you could land Lead Product Analyst - Business Account Management in Bristol
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wise!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Product Analyst - Business Account Management at Wise.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wise.
✨Apply Directly through Our Website
When you find a suitable opening like Lead Product Analyst - Business Account Management at Wise, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Product Analyst - Business Account Management in Bristol
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Wise, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wise. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wise
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wise!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
