The Cricut Analytics Team is looking to hire an outstanding Senior Data Analyst with strong technical analytical skills to operationalize data intelligence in multiple business units. Person is accountable for executing high-impact analytics initiatives, creating, and driving a culture that values and understands the importance of data. This person will collaborate very closely and cross-functionally with Product Marketing, Product Management, Operations as well as the Analytics team, to ensure success. You will also be responsible for making data-driven recommendations to business partners on improving customer engagement/satisfaction in using our software platform. Data team We are looking for highly talented team members who are passionate about data, have the rigor needed to solve billion-dollar problems, and possess an innate entrepreneurial spirit to explore the uncharted. This team combines the engineering backbone of a best-in-class big data platform with the analytic expertise of advanced mining and predictive modeling. If you want to work among the very best talent in the industry, working on the most innovative products in the world, Cricut is the place to be.As a Senior Product Analyst, you will play a critical role in driving actionable insights and strategic direction within our organization. You will collaborate with cross-functional teams to develop and implement impactful solutions that align with our company's North Star metrics.Key Responsibilities:Actionable Insights (30%):
Develop strategies and provide direction for the application of our BI/Dashboarding tool. Build robust KPIs and drill-down capabilities to enable the discovery of actionable insights.Communication (30%):
Collaborate with data science, data engineering, and business teams to deliver features that significantly impact our company’s North Star metrics.Domain Expert (20%):
Understand the business function and its nuances to define proper KPIs to measure the health and success of the business.Data Owners (10%):
Act as the data champion for a specific business function and serve as the single point of contact for internal and external teams on questions related to their business unit’s datasets.Measurement & A/B Testing (10%):
Build relevant KPIs to monitor the effectiveness of Data Science models. Create a multivariate testing and machine learning culture to unlock value and drive continuous improvement.