Lead Analyst – Business Operations – Wise Business

Company: Wise
Apply for the Lead Analyst – Business Operations – Wise Business
Location: London
Job Description:

Overview

In this Lead Product Analyst role, you will turn data into strategic insights that guide Wise Business initiatives and product decisions. You’ll partner with Product and Servicing to ensure analytics scale with the product, driving faster, data-informed choices. You will build dashboards and automated pipelines to enable self-serve data and a clear view of progress and impact. Your work will help quantify friction, prioritize fixes, and support cross-team initiatives that boost customer retention and business growth. This is a hands-on role at scale, combining deep analysis with storytelling to influence product strategy.

Pay / Benefits

  • Salary 75,000 – 115,000
  • Company Restricted Stock Units
  • Hybrid working
  • Paid annual holiday, sick days, parental leave and other leave opportunities
  • 6 weeks of paid sabbatical after 4 years
  • benefits in London office

Responsibilities

  • Derive actionable insights to drive team strategy and product decisions
  • Set goals, define KPIs, and narrate progress to stakeholders
  • Ensure fast, high-quality analysis to enable rapid iteration
  • Build automated data pipelines and dashboards for self-serve analytics
  • Identify high-impact opportunities and advocate for better alternatives
  • Own cross-team projects to size impact of friction on customer retention and prioritise fixes

Key requirements

  • 5+ years in analytical roles with strong data analysis skills
  • Expert SQL and proficiency with BI platforms (Looker, Tableau)
  • Independent, high-paced work style; ability to triage requests by impact and achieve 80/20 results
  • Excellent verbal and written communication; ability to craft dashboards that tell a story with diagnostic power
  • Strong stakeholder management and ability to influence using data with a bias to action
  • clear communication
  • stakeholder management
  • influencing with data
  • SQL
  • Looker
  • Tableau

…

Posted: October 11th, 2026