Support the team in setting up, monitoring, and managing multi-channel marketing campaigns
Assist with data manipulation and analysis tasks
Design and maintain data solutions that help optimize processes and automate tasks
Assisting in creating basic segments using SQL for multi-channel campaigns
Supporting the automation of manual processes under supervision using SQL and Python
Helping monitor campaigns to identify and report issues
Assisting in analyzing documentation and learning to extract data using APIs with team guidance
Collaborating with the Marketing Sciences and development teams to support campaign tracking and code deployment
Assisting in campaign implementation and monitoring on platforms such as Adobe Campaign Classic, Salesforce Marketing Cloud, Adobe Journey Optimizer, Pega, or Braze
Participating in meetings with agencies, vendors, and clients to understand requirements and support campaign execution
Communicating basic progress and results to internal teams
Supporting data tagging and organization to improve future analysis
Staying up to date with basic knowledge of digital marketing and data analysis, with a strong willingness to learn continuously.
Requirements
Advanced English proficiency (At least B2+)
1+ years of experience using SQL, Python, or working with APIs for data extraction
1+ years of experience designing ETL solutions
Knowledge of cloud computing technologies like Salesforce, Databricks, Azure, Snowflake, and AWS
Strong analytical mindset with exceptional reporting skills and attention to detail
Experience with HTML, CSS, SSJS, and personalization in campaign tools
Excellent communication skills with experience working in cross-functional teams across different organizations
Proven experience in campaign management on platforms like Salesforce Marketing Cloud, Adobe Experience Platform, Pega, or Braze is a PLUS
Strong project management and customer relationship skills
Demonstrated ability to quickly learn and apply knowledge across a wide range of subjects.
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