Staff Data Analyst

12+ years of hands-on experience in data analysis, focusing on Advertising, Gaming, e-commerce, or high-volume systems.
Bachelor’s and/or Master’s degree in Mathematics, Statistics, Data Science, or a related analytical field.
Proficiency in complex SQL for deep-dive analysis.
Strong statistical skills with experience in A/B testing, hypothesis testing, regression, and other statistical methods.
Proficiency in Python or R, primarily for statistical analysis and data manipulation.
Proven ability to structure complex problems, conduct thorough analyses, and generate actionable insights from large datasets.
Curious, internally motivated self-starter with the ability to plan, organize, and establish priorities to manage multiple projects and achieve results.
Excellent communication skills, with experience in presenting analytical findings to both technical and non-technical audiences.

Perform in-depth analyses on large-scale datasets, uncovering actionable insights that drive business performance.
Lead the design, execution, and analysis of A/B tests and experiments, applying statistical rigor to assess performance.
Interpret complex data using statistical methods and effectively communicate results to both technical and non-technical stakeholders.
Collaborate closely with Product Managers, Data Scientists, Engineers, and Commercial leaders to develop insights that support product enhancements and business decisions.
Build and maintain clear and concise documentation related to analyses, findings, and methodologies.
Provide recommendations based on data-driven insights, helping senior management and department leaders translate findings into actionable strategies.

Demonstrated experience with experimental design, data modeling, predictive modeling, and advanced statistical techniques.
Domain knowledge in advertising or gaming is a strong plus.
Expertise in at least one data visualization tool (e.g., Looker, Tableau)