At a Glance
- Tasks: Lead and mentor analysts, drive data infrastructure, and build core datasets.
- Company: Wise, a global tech company revolutionising money management.
- Benefits: Flexible working, paid sabbatical, and comprehensive leave options.
- Other info: Inclusive culture focused on career growth and empowerment.
- Why this job: Join us to shape the future of finance with innovative data solutions.
- Qualifications: Proficient in SQL and Python, with strong project management skills.
The predicted salary is between 80000 - 100000 £ per year.
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.
- Data Modelling: Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities.
- Advanced proficiency in SQL and Python: 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.
- Storytelling with Data: 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. We offer Restricted Stock Units (RSUs), flexible working arrangements, paid annual holiday, sick days, parental leave, and other leave opportunities. Additionally, there is a 6-week paid sabbatical after 4 years at Wise on top of annual leave.
We're people building money without borders — 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.
Lead AWS Engineer (Permanent) in Westminster employer: Wise
Wise is an exceptional employer that prioritises the well-being and professional growth of its employees. With a dynamic work culture that fosters innovation and collaboration, team members are encouraged to develop their skills while contributing to meaningful resilience strategies on a global scale. Located in a vibrant city, Wise offers competitive benefits and unique opportunities for career advancement, making it an ideal place for those seeking a rewarding and impactful career.
