Data Insights & Analytics Manager

The Challenge

Adobe's Document Cloud Strategy & Insights team is looking for a Data Insights & Analytics Manager who is passionate about using big data to deliver phenomenal customer experiences and to inform business decisions. You'll be responsible for driving tactical insights for product usage and customer retention. Additionally, you should have experience working in cross functional environments, leading change, and presenting optimally to executive and non-technical audiences.

What you'll do

• Help develop compelling "stories" that convey the meaningful synthesized insights in a compelling manner to various internal partner audiences
• Partner with various cross-functional teams (Engagement & Retention, Data Science, Finance, Engineering, Product, and Marketing) to understand business requirements through our Data Driven Operating Model, provide in-depth data analytics support and share associated business insights
• Perform regular ad-hoc SQL data querying in Hadoop to provide analysis to better understand customer behaviors including acquisition, engagement, conversion, and retention
• Design and develop informative analytics deliverables, projections and target settings, via a variety of statistical tools and techniques including requirements capturing, data profiling, data analysis, statistical analysis, predictive modeling, use case definition, data visualization, and data storytelling
• Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts
• Implement engagement and retention business models, test and optimize the customer experience, and monitor the outcomes in support of the Engagement & Retention team's initiatives
• Improve and automate data tasks, and continuously refresh existing data extraction, aggregation, and analytical processes

What you'll need to succeed

• BA/BS in Actuarial Science, Statistics, Mathematics, Economics, Computer Science or other quantitative fields. Master is preferred.
• 5 - 10 Years of industry experience in data/business analysis or a related field
• A strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages (Hive/Hadoop experience preferred)
• Familiarity with big data platforms such as Hadoop
• Experience with programming language such as Python, R
• Experience with data visualization tools such as Tableau/Power BI
• Statistical Modelling in Microsoft Excel or Power Pivot
• Understanding of statistical modeling, machine learning, or data mining concepts, and a record of solving problems with these methods.
• Excellent communication (verbal and written), relationship skills, and a strong teammate

At Adobe, you will be immersed in an outstanding work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our outstanding Check-In approach where ongoing feedback flows freely.

If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status

At Adobe, you will be immersed in an exceptional work environment that is recognized throughout the world on Best Companies lists. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely.

If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, religion, age, sexual orientation, gender identity, disability or veteran status.