Digital Marketing Analyst

This role is for a Digital Marketing Analyst, remote in the USA, for 10 months at a competitive pay rate. Requires 6-9 years with email/push automation platforms, strong SQL skills, and expertise in lifecycle marketing, preferably in retail.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 21, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
Remote
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
United States
🧠 - Skills detailed
#Data Strategy #Automation #Strategy #CRM (Customer Relationship Management) #Tealium #Data Integrity #Data Pipeline #SQL (Structured Query Language)
Role description
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Job Title: Digital Marketing Analyst

Location: Remote in USA

Duration: 10 Months

Core Responsibilities:
• Data Expertise: Serve as the subject matter expert on data pipelines for marketing automation platforms (Cordial).
• Campaign Feasibility: Assess and support the feasibility of future email and push campaigns while troubleshooting any data issues.
• Data Strategy: Align data strategies with broader marketing technology goals to enhance email and push program effectiveness.
• Cross-Platform Collaboration: Work with Tealium CDP data owners to orchestrate customer journeys across email and push channels.
• Data Integrity: Partner with technology teams to identify and resolve data anomalies and implement new platform features.
• Campaign QA: Collaborate with marketing teams to ensure flawless execution of email and push campaigns.
• Skills & Experience:
• Experience:
• 6–9 years working with email and push automation platforms like Cordial, Iterable, Adobe Responsys, or Braze.
• 5–8 years in lifecycle marketing with expertise in data-focused marketing technology, ideally in retail.
• Strong understanding of CRM, identity resolution, and customer journey orchestration.

Technical Skills:
• Working knowledge of SQL is a must.
• Familiarity with CDPs such as Tealium or Segment is a plus.
• Specialized Knowledge:
• Deep understanding of data requirements for lifecycle marketing.
• Proficiency in managing and enhancing data pipelines across marketing platforms.