Digital Marketing Analyst
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General Purpose: The Digital Analyst is an individual contributer and will be responsible to:
- Create reporting, dashboards and analytical insights to the digital business on marketing channels, site funnel, and overall sales and profit growth
Position Summary, Responsibilities and Expectations:
- Make segments more actionable by categorizing existing customers and prospects into a segment based on known data and/or interactions with Corsair – this analysis will serve as foundation for CDP
- Ensure segments are aligned with new bundles, training/coaching services, and loyalty strategy
- Provide reporting on CDP activation for marketing campaigns
- Build digestible reports, dashboards, and visualizations, monitor and understand performance along key KPI, and convey insights that tell an actionable story
- Partner with web/eCommerce and UX teams to own site-side analytics and customer data/segmentation to drive performance via actionable insights
- Develop and iterate testing frameworks, segmentation models, forecasting models, and automated tools
- Build digestible reports, dashboards, and visualizations, monitor and understand performance along key KPI, and convey insights that tell an actionable story
- Identify technical and strategic gaps and proactively create best-in-class solutions (landing page and funnel testing, customer journey analysis, segmentation analysis, pricing, etc.)
- Become an expert on all aspects of Corsair’s data and analytics infrastructure
- Report to Manager, Customer and Digital Analytics
Essential Skills and Experience:
- 2-5+ years in digital analytics, marketing analytics or customer analytics, particularly for D2C brands
- BA/BS in a mathematics, statistics, CS, or other quantitative field
- Understanding of site performance and eCommerce conversion KPI and their levers
- Strong understanding of marketing channels business strategy (SEO, SEM, Email, Affiliate,etc.)
- Understanding of web analytics platform - Google Analytics, and marketing attribution
- Strong grasp of statistics and experience conducting rigorous data analyses
- Experience retrieving/summarizing transactional data sets and integrating those data with customer and merchandise data to develop new insights
- Experience with a range of analytical tools and data visualization tools (PowerBI preferred)
- SQL Required; R, Python, and other languages preferred
- Ability to “dive under the hood”: strong analytical deduction and diagnostic ability to find and solve problems
- Ability to communicate complex concepts clearly and persuasively across audiences at varying levels of the organization
- Expertise in statistics and rigorous data analyses, strong grasp of data visualization tools (PowerBI, Tableau)
- Expertise forecasting, modeling, and building automation tools
- Excellent interpersonal skills with the ability to communicate complex analytical concepts clearly and persuasively across audiences at varying levels of the organization
- Experience with a CDP tool, particularly mParticle
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