Senior Data Analyst

Our client is a Swiss-based enterprise-grade CRM provider built on absolute data privacy, with all operations hosted in Switzerland under some of the world’s strictest legal standards. Their platform is modular and scalable, designed to serve clients in sectors like finance and insurance by enabling subscription growth, customer lifetime value, and profitability through actionable data reporting and streamlined backend operations. They have recently expanded their footprint by establishing a growing R&D team in Bulgaria – in order to accelerate innovation and enhance their global product offering. Through their scalable CRM, they serve customers requiring end‑to‑end workflow support, from fraud detection and affiliate commission management to funnel building and deep analytics. Joining this team means collaborating across borders with a committed, privacy-first Swiss headquarters and contributing to a platform used by enterprise clients looking for high-security, high-performance CRM solutions.

For their growing team in Bulgaria they are looking to bring on board a Senior Data Analyst. The role demands end-to-end accountability for how data is sourced, transformed, maintained, and used for decision-making. You can find more information below: 


Senior Data Analyst


Responsibilities:

• Take full ownership of data quality, governance, and reliability across the reporting infrastructure.
• Build and maintain robust data validation, monitoring, and documentation pipelines.
• Collaborate with internal and client stakeholders to align business goals with analytics strategy.
• Deliver high-impact analysis on payment, marketing, and transaction performance.
• Co-lead the AI payment routing engine project, managing timelines and partner coordination.
• Develop reusable dashboards, scalable reporting templates, and data models.
• Work closely with engineering and product teams to optimize backend data architecture.

Requirements:

• 4 – 6 years of experience in analytics, ideally in SaaS, fintech, or payments.
• Advanced SQL skills and experience with BI tools (e.g., Looker, Tableau, Power BI).
• Strong understanding of data modeling, QA, and reporting governance.
• Familiarity with Python or scripting languages for analysis.
• Experience using AI tools to support reporting, validation, or automation.
• Experience in affiliate marketing, CRM data integration and/or payment gateway ecosystems will be considered an advantage.
• Excellent communication skills across technical and non-technical audiences.
• Excellent English language skills.