Adobe Rt- Cdp Developer (Contract/Remote)
By Blue Acorn iCi At , Remote $65 - $85 an hour
Build solutions leveraging the AI capabilities of AEP using Data Science workspace, Attribution AI and Customer AI.
Possess excellent software architecture, design and problem-solving skills
Experience with agile development methodologies and TDD.
Knowledge of platforms AWS/Salesforce CRM and Marketo.
3+ years’ experience with Big Data/cloud platforms or Adobe Experience Cloud products
3+ years’ experience with backend technologies including Python, Java, J2EE, Tomcat, REST
Adobe Analytics Reporting Analyst
By UST Xpanxion At , Remote $115,000 - $135,000 a year
Knowledge of Tag Management and audit tools such as Adobe Launch, Google Tag Manager, Tagtician and ObservePoint – a plus
Adobe Analytics Experience Required; other Adobe Experience Cloud product knowledge a plus.
Understanding of HTML, JavaScript, debugging tools, tag management and Web protocols across desktop, mobile web and mobile applications
Must be comfortable in a remote environment, as part of a fast-paced, Agile, virtual team
Voice of the Customer survey strategy and analysis experience a plus
Experience with session replay analysis also a plus

Are you looking for a job that will let you use your analytical skills to make a real impact? Join our team as an Adobe Analytics expert and help us unlock the power of data to drive our business forward. With your expertise, you'll be able to identify trends, uncover insights, and create strategies that will help us reach our goals. If you're passionate about analytics and ready to take your career to the next level, this is the job for you!

Overview Adobe Analytics is a powerful analytics platform that helps businesses gain insights into their customers and their online activities. It provides detailed reporting and analysis of customer behavior, website performance, and marketing campaigns. It enables businesses to make informed decisions about their marketing strategies and optimize their online presence. Detailed Job Description Adobe Analytics professionals are responsible for leveraging the Adobe Analytics platform to gain insights into customer behavior, website performance, and marketing campaigns. They must be able to interpret data and create reports that provide actionable insights. They must be able to identify trends and patterns in customer behavior and website performance, and develop strategies to optimize the customer experience. They must also be able to collaborate with other departments to ensure that the data is used to its fullest potential. Job Skills Required
• Knowledge of Adobe Analytics platform
• Proficiency in data analysis and reporting
• Ability to interpret data and identify trends and patterns
• Knowledge of web analytics and digital marketing
• Ability to collaborate with other departments
• Excellent communication and problem-solving skills
Job Qualifications
• Bachelor’s degree in a related field
• At least two years of experience in web analytics and digital marketing
• Proficiency in Adobe Analytics platform
• Knowledge of HTML, CSS, and JavaScript
• Knowledge of SQL and other database technologies
Job Knowledge
• Knowledge of web analytics and digital marketing
• Knowledge of Adobe Analytics platform
• Knowledge of HTML, CSS, and JavaScript
• Knowledge of SQL and other database technologies
• Knowledge of data analysis and reporting
Job Experience
• At least two years of experience in web analytics and digital marketing
• Experience in using Adobe Analytics platform
• Experience in interpreting data and identifying trends and patterns
• Experience in developing strategies to optimize the customer experience
Job Responsibilities
• Leverage the Adobe Analytics platform to gain insights into customer behavior, website performance, and marketing campaigns
• Interpret data and create reports that provide actionable insights
• Identify trends and patterns in customer behavior and website performance
• Develop strategies to optimize the customer experience
• Collaborate with other departments to ensure that the data is used to its fullest potential