Senior Data Analyst (Fintech/Payments)

TL;DR

Senior Data Analyst (Fintech/Payments): Analyzing data to optimize conversion funnels, detect anomalies, and design seamless data pipelines for payment systems with an accent on insights generation and AB testing. Focus on deeply understanding the business, turning observations into real product improvements, and becoming a domain expert.

Company

hirify.global is a technology group and venture builder that creates, scales, and invests in startups across Deep Tech, FinTech, InsurTech, Cyber Security, and Blockchain.

What you will do

• Analyze data to optimize conversion funnels, track anomalies, and recommend actions to enhance performance.
• Conduct AB testing and performance benchmarking to drive evidence-based changes.
• Create and improve analytical tools to make data easily accessible for stakeholders.
• Dive into transactional data for financial insights.
• Build and maintain robust data pipelines to gather and process transaction data from payment systems.

Requirements

• Proven experience in data analysis, ideally in payments, banking, or related industries.
• Ability to turn complex data into clear, actionable insights and a proactive mindset to identify optimization opportunities.
• Eagerness to tackle challenges and make meaningful contributions.
• Comfortable collaborating with cross-functional teams and translating technical data for non-technical stakeholders.
• Experience with SQL (e.g., PostgreSQL) and knowledge of database structures and optimization.
• Proficiency in data analysis & visualization tools like Metabase, Looker, PowerBI or similar.

Nice to have

• Experience in building analytical toolsets.
• Ability to design and manage data pipelines for smooth data flow.
• Experience with Python.

Culture & Benefits

• Opportunities for career growth and becoming a domain expert.
• Collaborative environment with cross-functional teams.
• Culture of proactive ownership and identifying optimization opportunities.
• Adaptable work environment.

Hiring process

• Application by sending your CV or LinkedIn profile.
• Interview to discuss experience, expectations, and solve problems.
• Join the team.