Lead Analytics Engineer

Wise is a global technology company, building the best way to move and manage the world’s money. Our mission is to make lives easier and save money for people and businesses sending money to another country, spending abroad, or making and receiving international payments. We're creating an entirely new network for the world's money, for everyone, everywhere.

We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London. At Wise, we have over 130 Analysts and more than 2,500 weekly active users of our Business Intelligence Tools. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data, ensuring it's easy to find the right data quickly.

Here's how you'll be contributing to the Analytics Engineering team:

• Lead and Mentor: 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: Take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution.
• Core Data Sets: 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.

What do I need to bring to the role?

• 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: 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.

Our Offer:

• Base salary: £85-125k gross / year (based on experience & interview outcomes)
• Restricted Stock Units (RSUs)
• Numerous 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.

We're people building money without borders — without judgement or prejudice. We believe teams are strongest when they are diverse, equitable, and inclusive. We're proud to have a truly international team and celebrate our differences, ensuring every Wiser feels respected, empowered to contribute towards our mission, and able to progress in their careers.

Skills Required:

• SQL
• Python
• Data Pipelining
• Data Modelling
• Airflow
• Project Management
• Communication
• Data Storytelling
• Looker
• Superset
• dbt
• AI Applications
• Business Intelligence Tools