Lead Analytics Engineer

Requirements

• 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.

What You'll Be Doing

• 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.