Senior Product Analyst
@ Wise

São Paulo, São Paulo, Brazil
$120,000
On Site
Full Time
Posted 10 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. They offer low fees, speed, and ease to people and businesses sending money internationally.

Overview of the Senior Product Analyst Role

As a Senior Product Analyst on the Brazil team in the Regional Expansion Tribe, you will use data-driven insights to enhance Wise's product offering for the Brazilian market. Your work will involve prioritizing opportunities, defining KPIs, collaborating with cross-functional teams, and owning the data domain.

Key Responsibilities

  • Identify and prioritize opportunities for product improvements
  • Collaborate with Product Managers, Compliance Officers, and Bankers
  • Establish and track KPIs to measure success
  • Own the data domain and drive strategic decision-making
  • Utilize advanced technologies like AI and Large Language Models

Qualifications

Applicants should have 3+ years of analytical experience, strong SQL skills, and proficiency in Python or R. Problem-solving, independent ownership, and stakeholder influence are essential. Knowledge of Brazil’s payment infrastructure and the FinTech ecosystem is a plus.

What We Offer

Wise provides RSUs in a rapidly growing company, an annual self-development budget, flexible working models, comprehensive medical and dental insurance, meal vouchers, and more. Join a diverse, inclusive, and international team that thrives on building money without borders.

Key skills/competency

  • Data Analysis
  • SQL
  • Python
  • AI
  • KPIs
  • Product Improvement
  • Collaboration
  • Problem Solving
  • Compliance
  • FinTech

How to Get Hired at Wise

🎯 Tips for Getting Hired

  • Customize your resume: Align experiences with data analytics and product strategy.
  • Highlight SQL expertise: Emphasize performance in querying and analysis.
  • Show industry knowledge: Understand FinTech and Brazilian payments.
  • Prepare for interviews: Be ready for technical and behavioral questions.

📝 Interview Preparation Advice

Technical Preparation

Practice writing efficient SQL queries.
Review Python/R scripting basics.
Study AI and LLM practical applications.
Analyze case studies on data-driven decisions.

Behavioral Questions

Describe a time you solved complex problems.
Explain your approach to stakeholder collaboration.
Discuss prioritization in fast-paced settings.
Share examples of independent project ownership.

Frequently Asked Questions