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• Create and maintain weekly, monthly and quarterly client reports using BI tools and spreadsheets to track key performance indicators (KPIs) and analyze client performance. • Create engaging and informative data visualizations to effectively communicate complex data concepts to stakeholders. • Conduct high-level data analysis to identify trends and highlight the most important takeaways. • Understand, structure, and extract data from popular web analytics platforms (Adobe Analytics, GA4) to track high-level performance of ecommerce marketing channels. • Clean and prepare web analytics data for analysis, including understanding nuances specific to various properties and instances, identifying outliers and inconsistencies. • Create and maintain visualizations (charts, graphs) to communicate high-level findings effectively. • Coordinate with Customer Success teams and clients to understand data nuances and needs.
• 2-3 years of experience in a data analysis or related role. • Experience with web analytics platforms (Adobe Analytics, GA4) is required, specifically with structuring custom reports and exporting data. • Expertise using spreadsheets (Excel, Google Sheets) to create and manipulate data using pivot tables, complex formulas, and a wide range of functions. • Demonstrated familiarity with business intelligence (BI) tools (especially Looker) for querying existing data sets. • Understanding of basic data concepts (e.g., data types, relationships). • Excellent problem-solving and analytical skills. • Ability to work independently and as part of a team. • Strong communication and interpersonal skills. • Fluency in English. • Availability to work on Sundays to support colleagues’ and clients’ Monday responsibilities.
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