Digital Marketing Executive (eCommerce)

1. Build & Automate Customer Journeys:

• Design, build, and execute automated marketing workflows (such as welcome series, abandoned cart, and reactivation) to engage users at key moments in their lifecycle.
• Manage the end-to-end execution of campaigns across our available channels (Email, ZNS, Push Notification), ensuring timely and error-free delivery.
• Conduct A/B tests on content, timing, and segments to continuously optimize performance.

2. Data Management & Personalization:

• Segment customer data effectively to deliver relevant and personalized messages, even with limited tools.
• Champion data integrity and hygiene within our marketing database.
• Work with available resources to leverage customer insights for campaign targeting.

3. Hands-On Execution & Technical Craft:

• Code responsive, mobile-friendly HTML emails from scratch or using templates.
• Manage the technical setup of campaigns, including tracking links, promo codes, and UTM parameters.
• Ensure all communications are on-brand and provide a consistent customer experience.

4. Analysis & Growth Mindset:

• Monitor campaign performance using native analytics and basic reporting tools.
• Analyze results, draw actionable conclusions, and present recommendations to improve ROI, engagement, and conversion.
• Adopt a test-and-learn approach to everything you do.

5. Tool Adoption & Optimization:

• Become a power user and expert of our current marketing tech stack.
• Proactively research and suggest cost-effective tools, integrations, or processes to enhance our automation capabilities over time.

• Bachelor’s degree in Marketing, Business, or a related field.
• 1+ years of experience in hands-on digital marketing, with a proven track record in running automated campaigns. Experience with any automation platform is a plus, but not a requirement.
• Proficiency in HTML and CSS for email coding is essential. This is a key requirement.
• Familiarity with using APIs for basic integrations or knowledge of SQL for data querying is a strong advantage.
• Data-Driven & Analytical: Comfortable working with data to segment audiences and measure performance. Experience with basic analytics tools (e.g., Google Analytics, Power BI, or even advanced Excel) is valued.