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Manager, Growth Marketing and Analytics

Posted 2024-10-26

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💎 Seniority level: Manager, 8+ years

📍 Location: United States

🔍 Industry: Apparel

🏢 Company: True Classic Tees LLC

🗣️ Languages: English

⏳ Experience: 8+ years

🪄 Skills: SQLData AnalysisStrategyData analysisCollaboration

Requirements:
  • Bachelor’s degree in a related field (e.g., Computer Science, Data analytics, Marketing, Statistics, Economics).
  • 8+ years of experience in marketing and data analytics, focusing on attribution, marketing analysis, and website analytics, preferably in ecommerce or retail.
  • Strong understanding of marketing measurement and optimization techniques, including A/B testing and multivariate experimentation.
  • Experience with SQL, data visualization tools, statistical analysis, and media mix modeling.
  • Familiarity with post-purchase surveys and customer feedback analytics.
  • Excellent communication and presentation skills, able to translate technical concepts for a non-technical audience.
  • Experience leading a team or directing analytics agencies.
Responsibilities:
  • Conduct in-depth analysis of marketing campaigns, ad creatives, website performance, and product sales to identify opportunities for growth and optimize future campaigns.
  • Monitor and analyze trends from paid ad channels, website traffic, sales, and user behavior and communicate insights to senior management.
  • Develop and implement a marketing attribution model to accurately measure the impact of marketing efforts on business outcomes.
  • Design and execute A/B and multivariate experiments to test new ideas and optimize campaign performance.
  • Create a reporting framework to regularly communicate key insights and findings to stakeholders.
  • Measure the incrementality of marketing channels/campaigns using various methodologies.
  • Build a mixed media model to understand the impact of multiple marketing channels on business outcomes.
  • Utilize post-purchase surveys to gather customer feedback and inform channel investments.
  • Develop and maintain marketing dashboards and reports to track key performance indicators.
  • Collaborate with cross-functional teams to ensure data-driven insights inform decision-making.
  • Stay updated with emerging trends in data analytics and recommend new tools.
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