Lead Analytics Engineer

Wise
London
Workplace: HybridFull timeGBP 85,000 - 125,000 annuallyFunction: Data Analytics & Business IntelligenceSkills: ["Mentoring","Communication","Project leadership","Storytelling","Stakeholder empathy"]

Lead analytics engineering for Wise’s Analytics Experience team, helping make the right data easy to find and use. Own the data infrastructure roadmap for your assigned tribe, build and maintain core datasets, and set data modeling best practices. Mentor analysts on infrastructure, monitoring, testing, and data modeling, and drive adoption of new tooling such as dbt and AI applications to improve BI usability across the organization.

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FursaFursa
Wise
Wise
2 months ago

Lead Analytics Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 8 months ago

Job Summary

Lead analytics engineering for Wise’s Analytics Experience team, helping make the right data easy to find and use. Own the data infrastructure roadmap for your assigned tribe, build and maintain core datasets, and set data modeling best practices. Mentor analysts on infrastructure, monitoring, testing, and data modeling, and drive adoption of new tooling such as dbt and AI applications to improve BI usability across the organization.
Location: London
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Lead and mentor analysts on best practices for infrastructure, monitoring, testing, and data modeling.
  • •Define and drive the data infrastructure roadmap for your assigned tribe.
  • •Build and maintain core datasets, ensuring data quality and accessibility.
  • •Drive adoption of new tooling such as dbt and AI applications across the organization.
  • •Assess and implement data modeling best practices within your squad.

Pay and Benefits

Salary: GBP 85,000 - 125,000 annually
Equity and Bonus:Equity
Perks:RsusFlexible WorkingPaid HolidaySick DaysParental Leave

Key Requirements

  • •Advanced proficiency in SQL and Python.
  • •Proven experience building analytics pipelines and designing effective data models.
  • •Hands-on experience with an orchestration tool such as Airflow.
  • •Strong project leadership and communication skills with a track record of driving initiatives.
  • •Excellent storytelling ability with data, translating complex insights into clear, actionable narratives.
Experience:Business Intelligence
Skills:MentoringCommunicationProject leadershipStorytellingStakeholder empathy
Languages:English
Tech Stack:SQLPythonAirflowDbtAILookerSuperset

Company Brief

Wise
Wise (formerly TransferWise) is a London-based fintech that provides low-cost international money transfers, multi-currency accounts and payment infrastructure for individuals and businesses worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 3.8
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