Lead Analytics Engineer

We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London.

Wise has already pioneered new ways for people to transfer money across borders and currencies. Our customers can also manage their hard-earned money with the world's first platform to offer true multi-currency banking. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data.

At Wise, we have over 130 Analysts and more than 2,500 weekly active users of our Business Intelligence Tools. As a Lead Analytics Engineer, you'll be crucial in ensuring it's easy to find the right data quickly.

• Lead and Mentor: You will work closely with Analysts within one of Wise's squads, spending significant time mentoring them directly to establish best practices around infrastructure, monitoring, testing, and data modelling.
• Strategic Roadmap: You will take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution.
• Core Data Sets: You will play a key role in building and maintaining core datasets, ensuring data quality and accessibility.
• Tooling Evangelist: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization.
• Best Practices Driver: Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities.

• Technical Expertise: Advanced proficiency in SQL and Python is a must.
• Data Pipelining & Modelling: Proven experience in building robust analytics pipelines and designing effective data models.
• Orchestration Mastery: Hands-on experience using an orchestration tool like Airflow.
• Project Leadership: Strong capabilities in project management and communication, with a track record of driving initiatives.
• Impactful Storytelling: Excellent storytelling ability with data, translating complex insights into clear, actionable narratives.
• Python Development: Demonstrated ability to build practical solutions using Python.
• Stakeholder Empathy: You're able to build strong empathy for your stakeholders and internal customers, proactively identifying and solving their problems.
• BI Tooling: A driver of best practices regarding Business Intelligence Tools like Looker or Superset.

• Base salary: £85-125k gross / year base (based on experience & interview outcomes)
• Restricted Stock Units (RSUs)
• Numerous amount of best in class benefits
• Flexible working - whether it’s working from home, school plays or life admin we get that flexibility is essential and you’re trusted to do the right thing and be responsible
• 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