The CCX Growth Analytics team is looking for a dynamic and versatile analyst to drive product-led growth for Adobe Creative Cloud Express! You will employ data to deeply understand CCX customers through their entire lifecycle, with a focus on Conversion and Monetization, drive strategy, measure progress toward goals and uncover new opportunities.
The ideal candidate will have deep technical skills, a passion for delivering compelling customer analytics, curiosity, and a desire to grow technical skills!
What you'll do
Lead strategic analytics projects and present clearly communicated findings that lead to impactful insights for key partners.
Use data from multiple sources to understand customers and their in-product engagement patterns, create compelling data narratives that drive action and find opportunities to further elevate the Spark product experience.
Own and drive growth metrics related to product monetization. Unlock customer usage and behavior patterns and develop models to analyze the causal relationships between product usage, customer retention and propensity to purchase and convert at a macro and micro-transaction level.
Build new predictive models to understand the relationship between usage, engagement and customer retention - and fuel the basis for Propensity frameworks and find opportunities for monetization.
Generate data driven hypothesis, design and analyze tests, supervise performance and uncover concrete insights through analytics projects, strategic investigate analyses, and the development of scalable, self-service reporting solutions.
Partner with the enablement and product teams to enable analytics measurement across existing and new features built in the product in supporting data systems.
Build and maintain dashboards to enable self-serve of information.
Generate data-informed hypotheses to drive in product growth experiments and support readouts to assess the performance of the tests.
Develop time series, forecasting models to generate weekly and quarterly targets for end-to-end growth funnel metrics.
What you need to succeed
A Bachelor's degree in computer science, statistics, physics or a related field is required. Master's degree is desired.
Technical undergrad and equivalent experience in the field is required
2-3 years of direct experience as a Data Scientist
Deep understanding of statistics and expertise in building, productizing, maintaining and improving predictive models
Strong proficiency in querying, manipulating, validating and analyzing large data sets using SQL or Hive
Experience with Python, R or any other scripting language
Experience with one or more data visualization tools such as Tableau or Power BI
Experience with Adobe Analytics, Amplitude is a plus.
Strong business insight, good communication and collaboration skills