Paid Advertising Specialist - Ecommerce

P
Power DigitalDigital Marketing
Remote - United StatesFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
1-2 years of digital marketing
Required Skills
ShopifyGoogle AnalyticsMicrosoft ExcelDigital MarketingData analytics

Requirements

  • 1-2 years of digital marketing experience.
  • 1+ years of experience with Direct Response marketing specifically in E-Commerce.
  • 1+ years experience with Meta or Google Ads for direct response campaigns.
  • 1+ years experience leading paid advertising strategy for direct response marketing efforts.
  • 1+ years experience with Google Analytics and Shopify.
  • 1 year experience in client-facing roles and communications.
  • Excellent Excel skills with a clear understanding of advanced features.
  • Excellent data analytics skills.
  • Highly dependable self-starter with good organization and time management skills.
  • Entrepreneurial spirit with a passion for problem-solving and continued learning.

Responsibilities

  • Maintain flawless execution across all paid advertising platforms (Meta, Google, TikTok, etc.), ensuring accurate setup, tracking, naming conventions, and rigorous QA.
  • Operate with high ownership and autonomy, independently managing timelines, budgets, pacing, and day-to-day performance.
  • Execute and optimize paid advertising programs end-to-end, including ad builds, optimizations, reporting, pacing, and ongoing performance monitoring.
  • Demonstrate strong strategic thinking, proactively identifying growth opportunities, forming test hypotheses, and recommending data-backed optimizations.
  • Ensure accurate budget pacing and adherence to planned spend, proactively flagging risks or opportunities.
  • Own the upkeep and execution of client testing roadmaps, including project management of next steps and prioritization of experiments.
  • Autonomously prepare and present performance reports and recaps using clear data storytelling.
  • Leverage Power Digital’s Nova ecosystem to inform strategy, execution, and reporting, and utilize AI technologies to improve efficiency and performance.
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