Digging deep, mining our data - Diving into internal consumer data to help speed up decision making and move key business metrics. Explain the what and why of data results
Ongoing monitoring of current reports and data for accuracy and usage
Adapting, solving problems - Making connections between data that might seem unrelated, and thinking creatively
Using your skills to clearly explain your findings and recommendations
Bridging gaps between the data and the business - Working with cross-functional teams to create and communicate actionable, data-based insights
Developing and maintaining advanced reporting, analytics, dashboards, and other BI solutions using tools available in the landscape including and not limited to Tableau, Snowflake
Creating all required documentation on all projects and keeping documentation up to date on any existing report changes and facilitating training & rollout of new tools
What you should bring:
4+ years of Data Analyst or Data Science experience with great analytical instincts and the ability to glean insights from large swaths of data
Hands-on experience with SQL and advanced skills that allow you to easily extract data from multiple data sources for analysis and visualization
Excellent data visualization skills, preferably using Tableau, and are familiar with best-in-class dashboarding techniques
Experience working cross-functionally with other teams and departments. This position will require bringing different disciplines and points of view together, as well as balancing competing priorities and deadlines
Nice to have:
Proficiency in Python along with associated statistical and data science packages. A strong understanding of how to rigorously apply these concepts to inform business decisions effectively.
Experience designing, implementing, and consulting on in-product experimentation
