Principal Data Analyst

Overview

As Principal Data Analyst at Socialpoint, you partner with game teams to shape product strategy through data-driven decisions that boost engagement and growth. You will elevate analytics standards across the company, mentor analysts, and promote a culture of data-informed decision making. You’ll blend quantitative analysis, business sense, and technical skill to uncover impactful insights that influence roadmaps and monetization.

This is a leadership role with a strategic impact on top titles and data tooling. You will thrive in a collaborative, outcomes-focused environment.

• Hybrid working model
• 25 days of annual leave
• Private medical insurance for you and your family
• Employee stock purchase plan
• Professional development budget
• Onsite gym facilities

• Shape data-driven game strategy and influence product roadmaps and monetization
• Analyze player behavior, economy trends, and product performance in cross-functional partnerships
• Design A/B tests and build predictive models (e.g., churn, LTV, segmentation) to forecast outcomes
• Mentor analysts and communicate insights to senior leadership through storytelling and dashboards
• Collaborate on data tooling, pipelines, and promote data literacy and experimentation best practices

• Experience in analytics or data science roles, ideally in gaming, mobile apps, or digital products
• Strong business sense and product intuition; ability to prioritize what matters
• Solid experience with A/B testing, causal inference, and experimentation design
• Background in applied statistics; Bayesian methods are a plus
• Expert proficiency in SQL and Python for data exploration and analysis
• Excellent communication skills with experience influencing senior stakeholders
• Ability to translate complex data into clear, actionable insights for technical and non-technical audiences
• Experience with visualization tools like Tableau, Looker, or similar
• Experience mentoring or leading other analysts is a big plus
• Fast learner, meticulous, proactive, and pragmatic

• strong communication
• leadership and mentoring
• cross-functional collaboration
• A/B testing
• causal inference
• Bayesian methods (plus)