Marketing Analytics Specialist

Job Summary

The Marketing Analytics Specialist plays a critical role in helping the marketing and commercial organization make informed, data-driven decisions that improve campaign effectiveness, strengthen brand and product performance, and drive measurable growth across channels. This role turns marketing, consumer, and sales performance data into clear insights and actionable recommendations that support smarter planning, investment optimization, and omni-channel execution. This position partners closely with stakeholders across the organization to evaluate performance trends, monitor marketing ROI, and connect consumer behavior to business outcomes such as sell-through, engagement, and market growth.

Serve a strategic analytics partner improving visibility, enabling better decision-making, and helping teams use data to continuously improve performance.

• Marketing Performance & Reporting
  • Collect, analyze, and interpret data across paid media, web, CRM, content, social, and lifecycle marketing programs.
  • Build and maintain recurring dashboards and scorecards that track funnel performance, campaign results, engagement trends, and ROI.
  • Monitor KPIs such as awareness, acquisition, conversion, retention, and revenue contribution at the product and category level.
  • Translate data into clear narratives and visual insights that help stakeholders understand performance and business impact.
  • Automate and standardize reporting processes to improve consistency, accuracy, and accessibility of insights.
  • Skilled at converting comprehensive data analyses into intuitive visual formats that clearly communicate trends, insights, and recommendations to stakeholders.
• Campaign Optimization & Experimentation
  • Support testing and optimization initiatives including A/B testing, messaging and creative analysis, and audience segmentation.
  • Identify performance drivers, gaps, and inefficiencies, and recommend adjustments to improve marketing effectiveness.
  • Partner with channel and marketing teams to refine targeting, investment allocation, content strategy, and channel mix.
  • Use historical performance and trend analysis to support forecasting, planning, and budget recommendations.
• eCommerce & Amazon Analytics
  • Monitor performance across Amazon and key eCommerce partners as part of the broader omni-channel ecosystem.
  • Track traffic, conversion, POS, content engagement, search visibility, and ratings and reviews trends.
  • Provide insights that support content optimization, discoverability, and conversion improvement initiatives.
  • Connect eCommerce learnings back to integrated marketing and brand performance insights.
• Data Quality, Attribution & Analytics Maturity
  • Partner with data management, IT, and marketing teams to strengthen data pipelines and integrations.
  • Support consistency, accuracy, and governance across marketing and channel reporting sources.
  • Contribute to the development of measurement frameworks, attribution models, and standardized insight practices.
  • Help advance a culture of data-driven decision-making across the marketing organization.
• Other duties as assigned.
• This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Duties, responsibilities and activities may change or new ones may be assigned at any time with or without notice.

• Bachelor’s degree in marketing, business analytics, economics, data science, or equivalent experience.
• 3+ years in marketing analytics, digital analytics, business intelligence, or performance insights roles.
• Experience working with analytics and BI tools.

• Strong understanding of marketing funnels, attribution principles, and campaign measurement.
• Experience supporting consumer, retail, or durable goods product environments preferred.
• Exposure to eCommerce/Amazon analytics tools and platforms is beneficial.
• Strong analytical and problem-solving skills with the ability to interpret complex data and trends.
• Excellent communication and storytelling abilities to translate insights into clear business recommendations.
• High attention to detail, accuracy, and data integrity.
• Ability to manage multiple priorities and deadlines in a fast-moving environment.
• Collaborative mindset with the ability to work across cross-functional teams and stakeholder groups.
• Business-oriented perspective with a focus on outcomes, impact, and continuous improvement.
• Curiosity-driven approach and comfort working with evolving data environments and systems.

• Computer

• Office setting. Seldom exposed to fumes or airborne particles. Loud working environment of the shop area. Functional vision and hearing required.
• Office sedentary.