The Testing and Optimization Analytics Manager will be responsible for driving test data analysis as well as data innovation for Adobe's Web experience. You will work with Product Managers to generate data-driven hypotheses and vet test designs; validate KPIs and data tracking capabilities and resolve any issues; develop and maintain an analysis pipeline, delivering fast, accurate analysis across multiple types of tests and KPIs; and be the expert to generate insights and present those insights and results back to stakeholders. Additionally, you will be responsible for building and maintaining dashboards ingesting multiple data sources, evolving the use of statistical best practices, tracking and exploring interaction effects and test governance across multiple channels. You should have a deep understanding of high-velocity, cross-channel optimization to improve conversion, retention and engagement as well as extensive background in big data. The ideal candidate should have:
Solid foundation of statistical and data science concepts and good knowledge about AB testing and web analytics
Experience working in a data environment that is large and complex, typically referred to as Big Data.
Experience working with a cross-functional team to successfully manage expectation from different stakeholders
Experience using data analysis to drive deep business insights and make actionable recommendations
Preferred familiarity with most of the tools in the Adobe marketing Cloud and Hadoop environment
Experience in cross functional environments, driving change, and excellent communication skills, including a strong ability to communicate effectively to executive and non-technical audiences.
Interface regularly with senior team leaders and relevant stakeholders across the Adobe organization.
Help define and drive key performance indicators (KPIs) for AB testing and lead the data analysis and reporting of test KPIs
Work with technology team to understand web tracking, data availability and build scripts to ingest data from various systems
Work with business partners and test managers to understand business problem and data needs, provide in-depth analytical support and share associated business insights
Perform regular ad-hoc data analysis to better understand customer behaviors including acquisition, engagement, conversion and retention
Gather, synthesize and interpret disparate quantitative information sources, develop meaningful insights and clearly disseminating to key stakeholders
Build and maintain regular reporting based on a variety of data sources
7+ years of industry experience, preferably in E-commerce and digital marketing area
Strong proficiency in querying and manipulating large data sets for analytical purposes using SQL-like languages such as Teradata/Hive/Impala;
Manipulation of Data Visualization Tools (Tableau etc)
Solid statistical knowledge around Experimentation Design and Analysis and basic statistical modelling skills
Comfort in working in fast moving and iterative-development environments.
A team-player, collaborative, mindset is essential.
Facile with large-scale databases (able to pull and manipulate relevant data as needed)
Excellent communication skills, written, verbal and presentation
Experience working globally with multiple constituents
Strong analytical and strategic thinking skills
Experience with Adobe's Digital Marketing Cloud suite preferred
Master's in statistics or Computer Science or MBA degree preferred
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.