Job Description
## Role 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 ## You We are looking for intellectually curious, highly motivated individuals to be foundational members of our Data team!
You will partner with our Engineering, Product, Finance and Operations teams to identify critical goals for the business, develop a deep understanding of them, and design scalable solutions. You should have strong critical thinking and analytical skills, excellent communication abilities, and a knack for working across teams in a fast-paced environment. The ideal candidate will be adept in navigating the data stack and able to support initiatives in all facets from analytics/data engineering and product analytics to machine learning.
In addition to 6+ years of experience in the Data Analytics field, you should have: 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 Expert in using SQL for data analysis, reporting, and dashboarding Apply tot his job