Spreetail

Associate Principal Analyst - Marketing Analytics

Job Description

Spreetail is seeking a hands-on, results-driven leader to own and advance our advertising analytics strategy end-to-end. This role will build and scale advanced models and tooling to optimize performance, efficiency, and incrementality across channels—driving smarter, faster decisions through automation and self-service insights. A strong emphasis on Amazon Marketing Analytics (AMA) is critical, leveraging deep Amazon Ads data to improve ROAS, forecast accuracy, budget pacing, and overall cost efficiency. You’ll partner cross-functionally and lead a high-performing team to move the organization from static reporting to proactive performance management.


How you will achieve success:
  • Lead advanced advertising analytics and tooling by designing scalable models and platforms that optimize performance, efficiency, and incrementality across paid media channels, while continuously innovating methodologies and decision frameworks through strong documentation and enablement.
  • Own and evolve analytics tooling supporting campaign planning, pacing, bidding, forecasting, attribution, and optimization across retail media, search, social, and programmatic, including developing new tools for emerging ad products and go-to-market strategies.
  • Drive automation and operational excellence by enabling self-service analytics, reducing manual reporting, establishing clear SLAs for insight delivery, and partnering with Marketing and Channel teams to build SOPs, testing frameworks, and training programs.
  • Deliver performance monitoring and decision support through predictive and prescriptive analytics, forward-looking models, and a robust reporting ecosystem that supports real-time management, variance-to-goal tracking, and financially grounded ad hoc decision-making.
  • Lead cross-functional collaboration and team development by partnering with Marketing, Brand, FP&A, Product, and Growth to align advertising strategy with business objectives, while coaching and scaling a high-performing advertising analytics team built for long-term impact.

    • What experiences will help you in this role:
  • Deep analytics leadership experience with 8+ years in business analytics and 5+ years managing analytics teams, including advanced expertise in advertising ecosystems, performance measurement, and complex model development.
  • Strong technical and analytical foundation with advanced proficiency in Excel, SQL, Python, and BI tools, paired with exceptional problem-solving ability and numerical rigor to build and manage sophisticated analytical models.
  • Strategic, execution-oriented mindset that blends long-term thinking, project management, and hands-on delivery to turn ambiguous problems into measurable business outcomes.
  • Exceptional communication and influence skills, able to clearly translate complex analyses into actionable insights, establish effective reporting rhythms, and partner cross-functionally—including close collaboration with Software teams—to deliver scalable solutions.
  • People-first, results-driven leader who recruits, develops, and inspires high-performing analytics teams, thrives in fast-growing and evolving environments, and continuously improves processes through test-and-learn and rapid prototyping.

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