Mid/Senior Business Data Analyst (Product)

Surfshark is a company focused on digital products in the cybersecurity domain, specifically a security suite. The role involves partnering with product managers, designers, and engineers to drive product strategy and innovation through data insights.

• Proven experience as a senior business or product analyst in SaaS, mobile, or digital products; VPN/cybersecurity experience is a plus.
• Strong track record of influencing product outcomes through insights, such as driving feature adoption, optimizing usability, reducing churn, sunsetting, and improving cost allocation.
• Excellent skills in requirement gathering, stakeholder management, and consultative communication.
• Proficiency in SQL and business intelligence tools (Looker, Tableau, Power BI, etc.) sufficient to explore data and validate assumptions.
• Experience with usability and behavioral analysis, including understanding navigation bottlenecks, app flow, and feature performance.
• Ability to define KPIs that matter and connect them to product strategy.
• Skills in storytelling with insights to make complex findings actionable and persuasive.
• Curious and proactive in developing domain knowledge, especially in VPN, privacy, and SaaS user behavior.
• Strong English communication skills, both written and spoken.
• Experience with designing/analyzing product A/B tests is a plus.
• Experience with R/Python is a plus.

• Own the translation of product data into insights that directly shape the security suite, focusing on features, navigation, usability, retention, and cost efficiency.
• Lead business requirements by defining what should be measured, why it matters, and how it connects to strategic outcomes.
• Partner with Product Managers to ensure data work aligns with business priorities and user experience goals.
• Collaborate with Data Analysts to set metrics, frameworks, and models, providing business context behind measurement.
• Analyze customer journeys, usage patterns, and service-level performance to uncover actionable insights for product improvements.
• Represent the voice of the customer and business context in analytics discussions.
• Contribute to best practices in business analysis by mentoring peers and improving requirement setting, insight generation, and decision-making.
• Drive analytical development within the domain and company overall.