March 28
🏢 In-office - Manhattan
• Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools • Build actionable KPIs, create production-quality dashboards and notebooks to convey insights • Define and advance best practices within an experiment-driven culture • Inform product engineering roadmap through analysis of marketplace, user behavior, and product trends
• Excellent verbal communications, including the ability to clearly and concisely articulate complex concepts to both technical and non-technical collaborators • Bachelor’s degree in Computer Science, a related field, or equivalent work experience. • Demonstrated history of knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields • Industry experience with proven ability to apply scientific methods to solve real-world problems on large scale data • Ability to lead initiatives across multiple product areas and communicate findings with leadership and product teams • Comfortability with data warehouses and big data technologies such as Redshift, Snowflake, Big Query, Presto, Athena, Spark, DBT • Expert in using SQL for data analysis, reporting, and dashboarding • Experience with a scripting language such as Python or R • Aptitude and experience in applied statistical modeling and machine learning techniques • Firm grasp of visualization tools, interactive and self-serving, such as business intelligence and notebooks
• Flexible Time off Policy and Company-wide Holidays (including a spring and winter break) • Health Insurance options including Medical, Dental, Vision • Work From Home Support - $1,000 home office setup allowance - $150 monthly allowance for cell phone and internet • Care benefits - $450 monthly allowance on food - $500 monthly allowance for wellness - $5,000 annual allowance towards Childcare - $20,000 lifetime benefit for family planning, such as adoption or fertility expenses • Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
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