Wise is a global technology company, building the best way to move and manage the world’s money.
As part of our team, you will be helping us create an entirely new network for the world's money.
We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London.
\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. \Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities.
\Advanced proficiency in SQL and Python is a must.
Data Pipelining & Modelling: Proven experience in building robust analytics pipelines and designing effective data models.
Project Leadership: Strong capabilities in project management and communication, with a track record of driving initiatives. \Excellent storytelling ability with data, translating complex insights into clear, actionable narratives.
Python Development: Demonstrated ability to build practical solutions using Python.
BI Tooling: A driver of best practices regarding Business Intelligence Tools like Looker or Superset.
\This is a Lead Analytics Engineer role. n Restricted Stock Units (RSUs)
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, too. n 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.
\
or continue with email
As part of our team, you will be helping us create an entirely new network for the world's money.
We're looking for a Lead Analytics Engineer to join our Analytics Experience team in London.
\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. \Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities.
\Advanced proficiency in SQL and Python is a must.
Data Pipelining & Modelling: Proven experience in building robust analytics pipelines and designing effective data models.
Project Leadership: Strong capabilities in project management and communication, with a track record of driving initiatives. \Excellent storytelling ability with data, translating complex insights into clear, actionable narratives.
Python Development: Demonstrated ability to build practical solutions using Python.
BI Tooling: A driver of best practices regarding Business Intelligence Tools like Looker or Superset.
\This is a Lead Analytics Engineer role. n Restricted Stock Units (RSUs)
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, too. n 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.
\
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