Product Analytics Manager at Wise Platform
@ Wise

London, England, United Kingdom
£90,000
On Site
Full-time
Posted 12 hours ago

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Job Details

About Wise

Wise is a global technology company, building the best way to move and manage the world’s money. With minimal fees, maximum ease, and full speed, Wise helps people and businesses send money abroad, spend internationally, and make global payments.

Wise Platform Mission

Wise Platform transforms Wise's world-class payments products built over 15 years, making them accessible to hundreds of millions of consumers and businesses through banks, fintechs, and online platforms. Partners include leading names like Monzo, Morgan Stanley, Nubank, and Google.

Role Overview

The Product Analytics Manager at Wise Platform spearheads growth in the Online Platforms Products vertical. This role impacts one of the newest and fastest growing product lines at Wise and works closely with sales, product, engineering, and other teams to launch products with major banks and fintechs.

  • Lead vertical growth strategy with actionable insights.
  • Collaborate across teams to drive product development.
  • Utilize SQL, Snowflake, dbt, and Python for full-stack analytics.
  • Engage with enterprise sales cycles and performance metrics.
  • Coach and develop analysts as part of team scaling.

Key Responsibilities

Answer critical questions to identify growth opportunities, enhance product features, and reduce revenue cycle times. Analyze sales metrics, optimize transactions, and provide insights to position Wise Platform's products effectively in competitive markets.

What We Look For

The ideal candidate is proficient with SQL and experienced in using data pipeline tools like Snowflake, dbt, Git, Airflow and Python. Experience in payments and high-growth tech environments is essential, along with the ability to communicate insights and influence multiple stakeholders.

Interview Process

  • Screening call with recruiter (30 mins)
  • Take home Case Study (7 days to submit)
  • Technical Interview (1.5 hours)
  • Stakeholder Interview (1 hour)
  • Final Interview (1 hour)

Benefits

Wise offers a competitive base salary, RSU grants, flexible working conditions including remote work up to 90 days a year, private medical and life insurance, gym discounts, sabbatical leave, generous maternity leave, self-development budgets, and a vibrant, inclusive culture.

Key skills/competency

  • SQL
  • Snowflake
  • dbt
  • Python
  • Data Analysis
  • Product Strategy
  • Sales Metrics
  • Dashboarding
  • Looker
  • Stakeholder Management

How to Get Hired at Wise

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to Wise Platform requirements.
  • Highlight analytics experience: Emphasize SQL, Python, and data tools.
  • Demonstrate cross-functional work: Show teamwork with product, sales, and engineering.
  • Prepare case studies: Reflect problem-solving in product analytics.

📝 Interview Preparation Advice

Technical Preparation

Practice advanced SQL queries.
Review data pipeline tools like Snowflake and dbt.
Build dashboards in Looker or Superset.
Study product metrics and forecasting methods.

Behavioral Questions

Describe conflict resolution examples.
Explain cross-team collaboration experiences.
Share experience handling project challenges.
Illustrate leadership in analytical projects.

Frequently Asked Questions