Changing the world through digital experiences is what Adobe’s all about. We give everyone from emerging artists to global brands everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.
We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity.
We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!
In joining Adobe’s Consumer & Business Finance organization, you will have the opportunity to help drive Adobe’s pivotal initiatives by partnering with the World-Wide Go to Market Teams, operations, and finance organization, to drive retention forecasts.
The position will report to the Director, FP&A, retention planning. This position will provide an outstanding opportunity to drive timely insights across Digital Media (DMe) Business at Adobe.
The ideal candidate for this role is a well-rounded top performer with excellent data science and forecast modeling skills, who will be a catalyst for growth in a fast-paced environment.
You should be a strong partner, who enjoys forming cross-functional relationships within Adobe. You will drive data science initiatives to create complex financial models for forecasting retention and engagement.
What you'll Do
Drive data science modeling initiatives for retention forecasting and analysis.
Ensure accuracy of the models and conducting scenario analysis to derive range of outcomes.
Automate, enhance, and maintain analytic applications and data structures used for modeling and forecasting.
Partner between the go to market and technology teams to ensure clear communications among stakeholders
Demonstrate strong intellectual curiosity and is constantly looking to enhance the current methodologies and processes.
Be a change agent, ensuring users embrace new and innovative technology.
What you need to succeed
MS or Ph.D. degree in a quantitative field; Economics, Statistics, Mathematics, Physics, Operational Research, etc.
10+ years of relevant experience in data science and analytics in creating / maintaining models for a subscription / SaaS business.
Knowledge and understanding of econometric and statistical techniques.
Ability to code efficiently in Python, R and SQL like languages.
Proficient in data platforms / systems (such as SQL, Hadoop, Snowflake), ETL tools (such as Alteryx, SnapLogic), process automation and standardization.
Experience working with large and complex data structures and develop efficient queries to create calculated fields.
Ability to tell stories with data, educate effectively, and instill confidence, motivating leaders and partners to act on recommendations.
Self-starter with high attention to details, excellent interpersonal skills, and ability to take charge, set objectives, and deliver results.
Proactive, hardworking team player with strong communication skills and business intuitions