Lead Product Analyst - Business Account Management at Wise

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

115000.0

Posted On

01 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Data analysis, Product strategy, A/B testing, Statistics, Data pipelines, DBT, Airflow, Stakeholder management, Data visualization, Product adoption, Risk analysis, Financial reconciliation, Strategic planning, Communication

Industry

Financial Services

Description

Company Description 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. Job Description We’re looking for a Lead Product Analysts 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 Analysts 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. For everyone, everywhere. 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. Additional Information 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 For everyone, everywhere. 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. Compensation: GBP 75000 - GBP 115000 - yearly

Responsibilities

You will derive actionable insights from data to drive product strategy and define measurable KPIs for the Business Account Management team. Additionally, you will build automated data pipelines and lead cross-team projects to solve complex challenges related to product adoption and feature depth.