Things You Get To Do:

Develop a deep understanding of the existing business and share insights around the key metrics that drive the company and evaluate conversion and monetization efforts.
Explore and analyze user experience and product performance data, develop goals and tracking metrics, and ensure product priorities are data-driven and accommodate short term and long-term goals.
Formulate and test hypotheses, conduct data analysis, develop visualization/dashboards, communicate and present findings and actionable insights to business stakeholders and non-technical audiences.
Apply strong business judgment to data analysis and make and defend meaningful conclusions and recommendations.
Build, maintain, and communicate detailed reporting, visualization, and other tools to deliver business insights and to show business health.

Knowledge of statistics (experimental design, statistical analysis, hypothesis testing)
Proficient in SQL with the ability to write structured and efficient queries on large data sets (e.g. Redshift, PostgreSQL, BigQuery, Impala/Hadoop, Teradata) and programming/scripting language (e.g. Python, R)
Knowledge with business intelligence tools (e.g. Looker, Tableau) and web analytics tools (e.g. Amplitude, Google Analytics, Adobe)
Proven ability to solve problems, learn quickly, work independently, and adapt to change in a fast-paced environment
Excellent written, verbal, and interpersonal communication and presentation skills
Exemplary relationship builder who is consultative in nature and form partnerships with coworkers and customers

1+ years doing quantitative analysis