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Marketing Operations Analyst

Marketing OperationsMarketing OperationsFull TimeRemoteMid LevelTeam 1,001-5,000Since 2005H1B SponsorCompany SiteLinkedIn

Location

United States

Posted

3 days ago

Salary

$75K - $85K / year

Seniority

Mid Level

Bachelor Degree2 yrs expEnglish

Job Description

• Assist in administering and optimizing the marketing technology stack, including CRM, marketing automation platforms, and analytics tools • Monitor and maintain data quality across systems, ensuring accurate integrations between platforms • Support the evaluation and testing of new marketing technologies, including AI-powered tools • Build, maintain, and enhance dashboards, reports, and assist with presentations to track marketing KPIs • Analyze campaign, customer, and engagement data from multiple sources using AI-powered analytics tools • Evaluate and support the adoption of AI and automation tools including chatbots, predictive analytics, and generative AI • Implement and maintain data quality procedures through regular cleansing, validation, enrichment protocols, and routine audits • Establish and maintain data governance frameworks including standards, policies, naming conventions, segmentation strategies, and targeted audience lists • Optimize lead scoring models, including AI-enhanced predictive scoring

Job Requirements

  • Bachelor's degree in Marketing, Business Administration, Data Analytics, Information Systems, or related field
  • 2 years of internship or co-op experience in marketing operations, marketing analytics, or a related analytical role
  • Hands-on experience with marketing automation platforms (e.g., HubSpot, Marketo, Pardot) and CRM systems (e.g., Salesforce)
  • Proficiency in data analysis using Excel (pivot tables, advanced formulas, VLOOKUP/XLOOKUP) and experience with Google Analytics or similar web analytics platforms
  • Demonstrated understanding of digital marketing channels, metrics, and campaign mechanics
  • Strong analytical and problem-solving skills with proven ability to translate data into actionable insights
  • Excellent attention to detail and commitment to data accuracy and quality.
  • Strong written and verbal communication skills with ability to explain technical concepts to non-technical audiences.
  • Proactive, self-motivated approach with ability to work independently and manage multiple priorities.
  • Curiosity and demonstrated interest in emerging technologies, particularly AI applications in marketing.

Benefits

  • Health insurance
  • 401(k) matching
  • Flexible work hours
  • Paid time off
  • Professional development opportunities

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