Marketing Data Analyst

September 20

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Therabody

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Training • Recovery • Sports Science • Injury Prevention • Athletic Performance

501 - 1000

💰 $165M Private Equity Round on 2022-09

Description

• Implement and manage website tagging protocols, ensuring 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 team 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 & ecommerce analytics, business and consumer insights, and KPI reporting. Previous experience with consumer electronics or medical devices products is a plus • Willing to occasionally work US hours • 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