Lead Analytics Engineer

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 lives 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.
• More about our mission and what we offer .

Job Description

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

• 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.

Qualifications

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 : 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.

This is a Lead Analytics Engineer role. For more information on our Analytics Career Map and levelling structure, click here

Additional Information

Our Offer

• Base

• 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

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 .