Knack for working across teams in a fast-paced environment
6+ years of experience in the Data Analytics field
Excellent verbal communications, ability to clearly articulate complex concepts
Bachelor’s degree in Computer Science or equivalent work experience
Knowledge in Business Analysis, Statistics, Mathematics, Economics or related technical fields
Industry experience with applying 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
Expert in using SQL for data analysis, reporting, and dashboarding
Experience in owning and building data pipelines with DBT, Airflow, or other similar technologies
Experience with a scripting language such as Python or R is a plus
Experience in applied statistical modeling and machine learning techniques
Grasp of visualization tools such as business intelligence and notebooks
Desirables
Intellectually curious
Highly motivated
What the job involves
Partner closely across the business to find improvements/opportunities and influence decisions using data science methodologies and tools
Build actionable KPIs, enriched datasets, and create production-quality dashboards and notebooks to convey insights
Act as data owner of Finance functions including but not limited to accounting, strategic finance, profitability, and executive office
Drive incremental improvements in contribution margin through deeply understanding the drivers of the business and analyzing the impact of cross functional initiatives
Whatnot aims to revolutionize the future of ecommerce by creating a trusted and welcoming space for buyers and sellers to share their passions in real-time across various categories.