Senior 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. 

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.

Minimum qualifications:

• 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.
  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.
  
  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).