Marketing Data Insights Specialist

4 settimane fa


Roma, Lazio, Italia Therabody A tempo pieno

Therabody's Mission

Therabody is the wellness tech leader with a mission to inspire and enable every body and mind to keep moving. Our product ecosystem includes category-creating innovations in wellness products, proprietary software, digital content, and biometrics that have proven benefits around alleviating stress and pain and enhancing performance and sleep.

Key Responsibilities

  • Implement and manage website tagging protocols to ensure accurate data collection for web analytics and marketing tracking.
  • Define KPIs, monitor marketing and site performance, and create clear reporting for stakeholders that explains the why behind metrics.
  • Develop, maintain, and optimize dashboards and reporting tools to track and visualize key performance metrics across owned, earned, and paid channels.
  • Analyze marketing data to provide insights and recommendations for campaign optimization.
  • Partner with media and lifecycle marketing teams to implement data-driven marketing strategies and automate personalized messaging through the customer data platform.
  • Utilize multiple data sets to perform ad hoc data analyses to understand trends and performance across regions, products, and segments.
  • Translate business and consumer data requests into analytics needs while assessing what is available and what needs to be developed.

Requirements

  • 5+ years of experience in an analytics capacity with a focus on marketing & e-commerce analytics, business and consumer insights, and KPI reporting.
  • Extensive experience with website tagging, digital analytics tools, and data reporting.
  • Proficiency in tools such as Google Analytics 4, Google Tag Manager, and Adobe Analytics.
  • Experience with analytics concepts such as multi-touch attribution, lifetime value, and customer segmentation modeling.
  • Experience with A/B testing, test design, and optimization tools such as Google Optimize, VWO, Optimizely, Test & Target, etc.
  • Familiarity with data visualization tools such as Power BI, Tableau, or Looker and building out self-service dashboards.
  • Experience with data platforms such as CDPs and DMPs is required.
  • Familiarity with complex data analysis, cluster analyses, and managing large data sets.
  • Able to partner well with cross-functional teams and present findings in a meaningful way.


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