We are looking for an experienced and highly motivated Staff Business Data Analyst to join our Product Analytics team. Candidate must have a strong background working with Product data, experimentation and inference, have a good product sense and business acumen and be able to communicate effectively with our senior stakeholders.
What you'll bring
Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related quantitative field or equivalent work experience.
6+ years of combined post-graduate academic and industry experience applying quantitative and scientific methods to solve real-world business problems
Experienced in advanced statistical analysis, test design, and experimentation
Competency in analyzing large complex datasets (e.g. clickstream data) is required
Proficient in SQL, data visualization (Qlik, Tableau,QuickSight), and scripting languages (Python, R)
Strong data storytelling skills, with a proven ability to rapidly construct impactful visualization, communicate insights and influence leadership
Understanding and competency in building ML models (supervised and unsupervised) is highly preferrable
How you will lead
Responsibilities of the role include defining KPIs and success metrics for new initiatives, deriving insights on Product adoption by our customers and influencing Product and Go-to-market decisions, enabling the larger team to learn and optimize by designing and implementing experiments, and building reporting dashboards. The person will work cross-functionally across different teams and across seniority levels in the org