• 5+ years in data analytics, business intelligence, or related roles focused on digital products

SQL Advanced technical skills (DataViz; SQL; automation; report/metric design; algorithms/modeling) Advance (Required)

• Hands-on experience with product analytics platforms (Amplitude, Mixpanel, GA, etc.)
• Deep understanding of data pipelines and database structures, with the ability to work hands-on with large-scale data sets
• Proficiency in data engineering tools and techniques, including ETL processes and data modeling
• Experience working with data lakes and cloud data platforms (e.g., BigQuery, Snowflake, AWS Redshift)
• Bachelor’s or Master’s in a quantitative discipline (e.g., Statistics, CS, Economics, Data Science)