Data Analyst

Adobe

(New York, New York)
Full Time
Job Posting Details
About Adobe
At Adobe, we re changing the world.We give people the tools to bring their ideas to life and create content that makes life more fun and work more meaningful. We give businesses and organizations the power to truly engage their customers.
Summary
As a Senior Business Analyst you will be responsible for helping different businesses and teams achieve operational and execution efficiencies using data. Your leadership and interpersonal skills will help you engage with product management, customer success, marketing, and sales teams to understand and distill their business intelligence needs and deficiencies. Your strong data ETL skills will help you combine disparate sources of data so that they can be analyzed and your understanding of statistics will help you analyze the data and derive useful actionable insights for the various teams. Your success is predicated on providing insights that enable digital marketing businesses to lower customer churn, identify product feature utilization, and facilitate upsell and cross sell opportunities.
Responsibilities
* Manage the data collection, analysis and delivery of KPIs for a digital marketing business. * Collaborate with a digital marketing business’ technical teams to understand where data is stored and how it can be extracted. * Analyze customer usage data and derive insights for product, customer success, and marketing teams. * Standardize insight generation and help build automated self service tools for the same. * Own and lead relationships with stakeholders across digital marketing businesses.
Ideal Candidate
* Degree or 3+ years professional experience in engineering, statistics, mathematics or related disciplines are strongly preferred. MS/PhDs are preferred. * Basic prototyping skills in R, Python, JS, or similar language are required. * Ability and preference to work in a rapidly changing and less defined business environment. * Very strong project management skills are required. The ability to work with disparate teams, often in different geos, prioritize tasks and following up on them is critical for success in this role. * Experience with machine learning, artificial intelligence, and/or econometrics is strongly preferred. * Knowledge of the digital marketing industry preferred but not required.

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