— Work with stakeholders across teams to identify, develop, and launch data science initiatives to improve our product and scale operations;
— Mine and analyze data to drive product, marketing, and business development;
— Monitor and assess the accuracy of data sources and the effectiveness of tools and techniques;
— Contribute to overall product strategy with recommendations for opportunities and improvements;
— Identify operational efficiencies to help scale the business;
— Monitor and manage business and product KPIs;
— Regularly report results to leadership and the entire team.
— 2+ years experience in product analytics;
— Bachelor’s in statistics, mathematics, computer science or another quantitative field;
— Experience with complex SQL queries and various query engines;
— Experience with Python;
— Experience with statistical modeling;
— Experience with experimental design, testing, and analysis;
— Outstanding communication, interpersonal, and presentation skills;
— Ability to work independently in a fast-paced environment;
— A natural analyst with an eye toward product development.
— Days off for all public holidays;
— 20 days of paid leave per year;
— Meetups and events for professional development;
— Compensation for medical expenses;
— Flexible work schedule (productivity and results are important to us);
— Incentives (wedding, childbirth);
— 50% compensation for trainings, conferences, etc;
— 100% compensation for English classes.