Principal Data Analyst - Social Point

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.25 days of annual leavePrivate medical insurance for you and your familyEmployee stock purchase planShape data-driven game strategy and influence product roadmaps and monetizationAnalyze player behavior, economy trends, and product performance in cross-functional partnershipsDesign A/B tests and build predictive models (e.g., churn, LTV, segmentation) to forecast outcomesMentor analysts and communicate insights to senior leadership through storytelling and dashboardsCollaborate on data tooling, pipelines, and promote data literacy and experimentation best practicesExperience in analytics or data science roles, ideally in gaming, mobile apps, or digital productsStrong business sense and product intuition; ability to prioritize what mattersSolid experience with A/B testing, causal inference, and experimentation designBackground in applied statistics; Bayesian methods are a plusExpert proficiency in SQL and Python for data exploration and analysisExcellent communication skills with experience influencing senior stakeholdersAbility to translate complex data into clear, actionable insights for technical and non-technical audiencesExperience with visualization tools like Tableau, Looker, or similarExperience mentoring or leading other analysts is a big plusFast learner, meticulous, proactive, and pragmaticstrong communicationleadership and mentoringcross-functional collaborationA/B testingBayesian methods (plus)#J-*****-Ljbffr

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 Bayesian methods (plus) #J-*****-Ljbffr