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Job Title: Data Privacy Analyst Location: On-site – Limassol, Cyprus About the Role We are seeking a Data Privacy Analyst to join our Data Protection team in Limassol. Reporting to the Data Protection Officer, you will manage privacy compliance, support risk assessments, and help maintain a robust global data protection framework. Key Responsibilities Handle data subject requests (access, deletion, portability). Maintain records of processing activities and document data flows. Conduct privacy risk assessments, DPIAs, LIAs, and vendor reviews. Support privacy incident investigations and regulatory reporting. Collaborate with internal teams to embed privacy-by-design. Assist in policy drafting and regulatory readiness projects. Requirements 2–5 years of experience in privacy, compliance, or risk management. Strong knowledge of GDPR and international privacy laws (CCPA, LGPD, etc.). Experience with DSARs, DPIAs, and vendor assessments. Excellent analytical, legal, and communication skills. Certifications such as CIPP/E, CIPP/US, or CIPM are a plus. Experience in regulated or data-intensive industries is preferred. What We Offer Competitive salary and bonus opportunities Career growth and professional development Collaborative on-site work environment in Limassol

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Main Responsibilities:   Take ownership of the company’s SQL Server data infrastructure, including development and maintenance of ETL pipelines. Ensure seamless integration with key third-party platforms. Drive a major affiliate network consolidation initiative, ensuring accurate data migration and clean attribution of revenue across channels. Develop and maintain a suite of Power BI dashboards for daily, weekly, and monthly reporting across various departments. Lead affiliate network consolidation, ensuring data consistency and revenue reconciliation. Support cross-team analytics needs with clear, accurate reporting. Explore AI/ML opportunities to drive predictive and automated solutions.   Desired experience: iGaming experience. 5+ years of experience in data engineering, BI, or analytics. SQL Server, Python-based ETLs, and building dashboards in Power BI. Proven ability to work independently, manage projects, and act as the link between business teams and technical teams. A proactive mindset geared toward innovation, scalability, and data-driven strategy.