Sr. Analyst, Digital Tagging Solutions – (HTML/JavaScript/ActionScript/Ensighten/Adobe Target/Adobe Launch/Adobe Analytics)
Apply NowLocation:
Mount Laurel, NJ, US
Company:
TD is a leading global financial institution and the fifth largest bank in North America, known for delivering legendary customer experiences.
Summary:
The Sr. Analyst will manage the analytics capabilities for TD Bank's digital and mobile projects, overseeing analytics implementation and ensuring knowledge transfer. Candidates should possess a relevant bachelor's degree and 3+ years of experience, along with technical skills in web technologies and analytics tools.
Requirements:
Technology: HTML, JavaScript, ActionScript, Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services, Ensighten
Hard Skills: HTML, JavaScript, ActionScript, Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services, Ensighten
Credentials: Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science), Graduate's degree preferred with either progressive project work experience, or 3+ years of relevant experience
Experience: 3+ years of relevant experience, Higher degree education and research tenure can be counted
Job Description:
Position Overview:
This position is responsible for managing and enhancing the analytics capabilities of TD Bank digital & mobile projects, ad-hoc tagging requests and marketing support with best-in-class measurement strategies.
The Digital Tagging team is an integral part of the digital analytics functions and is responsible for analytics implementation in a fast-paced environment supporting multiple digital & mobile platforms and applications across many lines of business within TD Bank (AMCB).
As part of the Digital Tagging Solutions team, this position is accountable for implementation, continued integration and knowledge transfer of our analytics stack including Adobe Analytics, Adobe Target, Adobe Audience Manager, Adobe Launch, Adobe Mobile Services and Ensighten.
As a whole, the team is responsible for extracting business and customer value from digital data. We provide automated reporting and visualization to business partners, and use advanced analytics, data science and machine learning to build data-driven solutions to deliver richer, more connected personalized experiences to our customers.
The Data Scientist II is responsible for collecting data and using wide range of data science techniques, including but not limited to data wrangling, profiling and visualization, statistical inference, to uncover actionable insights or build analytics solutions that guide decision making and strategic planning.
