Data Analyst

Straal is an international provider of payment, optimisation, and fraud prevention solutions for future-minded small and medium businesses. The company offers a comprehensive suite of products that make accepting digital payments easy, convenient, and fully secure for merchants and their customers. From subscription engines, through card payments and open banking solutions to alternative payment methods, Straal offers everything that fast-developing companies need for every customer journey.

You will work on a payment gateway service focused on open banking and alternative payment methods, delivering a seamless payment solution for our clients.

We're currently looking for a Senior Data Analyst to help us optimize conversion rates, detect anomalies, and design seamless data pipelines for our payment systems. This role is not just about analytics — it’s about deeply understanding the business, playing Sherlock Holmes with data, and turning insights and observations into real product improvements. It’s a path to becoming a true domain expert.

If you have experience in SQL, Python, BI tools, and a strong analytical mindset, this could be a great opportunity to take the next step in your career!

Your Responsibilities

• Insights Generation: Analyze data to optimize conversion funnels, track anomalies on micro and macro scale, and recommend actions to enhance performance.
• AB Testing & Benchmarking: Conduct experiments and performance benchmarking to drive evidence-based changes.
• Analytical Tool Development: Create and improve tools to make data easily accessible for stakeholders.
• Financial Analysis: Dive into transactional data for financial insights.
• Pipeline Design: Build and maintain robust data pipelines to gather and process transaction data from payment systems.
  
  

We're Looking For

• Proactive Ownership: Someone who wants to understand the full context of our business, proactively identifies opportunities for gains and optimizations, and doesn't wait to be told what to analyze next.
• Experience: Proven experience in data analysis, ideally in payments, banking, or related industries.
• Technical Skills:
• Experience with SQL (e.g., PostgreSQL)
• Knowledge of database structures and optimization.
• Proficiency in data analysis & visualization tools like Metabase, Looker, PowerBI or similar.
• Experience in building analytical toolsets.
• Ability to design and manage data pipelines for smooth data flow (nice to have).
• Experience with Python (nice to have).
• Analytical Mindset: Ability to turn complex data into clear, actionable insights.
• Problem Solver: Eager to tackle challenges and make meaningful contributions.
• Team Player: Comfortable collaborating with cross-functional teams and translating technical data for non-technical stakeholders.
• Adaptability: Ability to maintain productivity in a fast-changing environment.