Lead Analytics Engineer
Lead Analytics Engineer
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Job Description
Were 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 worlds 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 2500 weekly active users of our Business Intelligence Tools. As a Lead Analytics Engineer youll be crucial in ensuring its easy to find the right data quickly.
Heres how youll be contributing to the Analytics Engineering team:
Lead and Mentor: You will work closely with Analysts within one of Wises 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: Youre 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.
Additional Information :
Our Offer
Base salary: 85-110k gross / year base (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Numerous amount of best in class benefits
Flexible working - whether its working from home school plays or life admin we get that flexibility is essential and youre 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. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were 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 its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
