• Work closely with marketing teams to support them with accurate, reliable, and timely data insights • Develop a monitoring system to track signal streams sent to advertising platforms • Improve visitor data quality by increasing user match rates and cleaning up irrelevant data • Research and implement ad creative measurement and reporting • Identify and test approaches to evaluate brand awareness investments • Develop and maintain dashboards, perform ad-hoc analyses and deliver actionable insights to marketing team • Ensure high quality of data collection and contribute to technical decisions that improve data pipelines and reporting systems

• Support solution decision-making as a trusted technical advisor. • Design, implement, and deploy data platforms in public and private cloud environments. • Guide clients on data strategy, governance, architecture, and quality management. • Conduct customer workshops, discovery sessions, and presentations. • Educate clients on modern technologies and their business value. • Define processes and tools for data acquisition, storage, transformation, and analysis. • Communicate solution and technology options and their business impact. • Develop roadmaps and implementation strategies for data initiatives. • Review and audit existing solutions and create architecture documentation. • Discuss solutions with stakeholders from C-level to engineering teams. • Function in various roles throughout the project lifecycle. • Assist in pre-sales activities and client presentations

• Be the analytical backbone of the Marketplaces Tribe, transforming raw data into insights that drive profitable growth across Shapermint, Truekind, and The Spa Dr on Amazon US, Canada, UK, and Australia. • Develop dashboards, monitor KPIs, and automate reporting to enable faster, smarter decision-making for product, marketing, and supply chain teams. • Extract and analyze Amazon data from Seller Central, APIs, Helium10, DataDive, and Brand Analytics. • Track core performance KPIs including TACOS, CVR, CTR, BSR, refunds, and ratings correlation. • Conduct competitor benchmarking to identify pricing, promotional, and assortment opportunities. • Support forecasting and demand planning by leveraging historical trends and category insights. • Provide strategic recommendations on product assortment, pricing, and promotional strategies. • Propose AI-powered insights, process automation, and profitability diagnostics. • Optimize SEO and product discoverability using Amazon algorithms, Rufus AI, and keyword tools. • Build and maintain dashboards and reports in Tableau and Google Sheets for cross-team insights. • Collaborate with marketing, creative, and supply chain teams to align strategies with data. • Ensure data quality and integrity through validation, troubleshooting, and regular checks.

• Identify and establish core Key Performance Indicators (KPIs) • Guide product teams with advanced methodologies and analytical tools • Conduct analysis of product performance metrics and user behavior • Partner with Product researcher to create an overview of performance insights