Data Analyst (Marketing Domain)

Title: Data Analyst (Marketing Domain) Location: Remote Duration: 6 months (possibility of extension) JD: About the Role: • We are looking for a Data Analyst with strong marketing analytics experience to work closely with our Marketing team and help turn customer, product, campaign, and e-commerce data into actionable insights. • This role will sit at the intersection of data, marketing, digital commerce, and customer behavior, helping the organization better understand acquisition, engagement, conversion, retention, merchandising performance, and overall marketing effectiveness. • The ideal candidate is highly proficient in Amplitude and Snowflake and brings prior experience working with retail, fashion, apparel, or direct-to-consumer brands, particularly organizations selling through Shopify or similar e-commerce platforms. Key Responsibilities: • Partner closely with Marketing, E-commerce, Growth, Product, Merchandising, and Data teams to translate business questions into measurable KPIs and analytical requirements. • Own and develop analysis within Amplitude, including funnels, customer journeys, cohorts, segmentation, retention, and behavioral analysis. • Use Snowflake and SQL to query, combine, validate, and analyze customer, marketing, product, order, and transactional data. • Analyze data originating from Shopify and other retail/e-commerce platforms, including orders, customers, products, promotions, transactions, and digital customer journeys. • Build and maintain dashboards and reporting that provide visibility into key metrics such as: • Customer acquisition and conversion • Campaign and channel performance • E-commerce conversion rate • Average order value and revenue • Repeat purchase behavior • Customer lifetime value • Engagement and retention • Funnel and checkout performance • Customer lifecycle and segmentation • Product, category, and merchandising performance • Marketing ROI and attribution • Connect behavioral data from Amplitude with broader customer, commerce, and marketing datasets in Snowflake. • Analyze customer journeys across web, digital marketing, e-commerce, and purchase channels. • Identify trends, anomalies, customer segments, and commercial opportunities and communicate findings clearly to business stakeholders. • Support A/B testing and experimentation, including test design, measurement, and results analysis. • Work with Data Engineering teams to improve data quality, event tracking, data models, and analytics-ready datasets. • Help define and maintain event taxonomies, customer definitions, KPIs, and measurement frameworks across the marketing and e-commerce domains. • Provide ad hoc analysis to support campaign planning, customer targeting, personalization, merchandising, promotions, and strategic marketing decisions. Required Experience & Skills: • 3+ years of experience in Data Analytics, Marketing Analytics, Product Analytics, E-commerce Analytics, Business Intelligence, or a related field. • Strong hands-on experience with Amplitude, including funnels, cohorts, segmentation, retention analysis, and event-based analytics. • Strong hands-on experience with Snowflake. • Advanced SQL skills and experience working with large and complex datasets. • Prior experience working with retail, fashion, apparel, clothing, or direct-to-consumer brands. • Experience analyzing data from Shopify or comparable e-commerce platforms. • Strong understanding of e-commerce and retail KPIs, including conversion rate, AOV, repeat purchase rate, customer lifetime value, retention, product performance, andpromotional effectiveness. • Experience analyzing digital marketing and customer journey data. • Strong understanding of marketing KPIs, conversion funnels, segmentation, attribution, and customer lifecycle measurement. • Experience developing dashboards and communicating analytical findings to non-technical stakeholders. • Ability to translate ambiguous business questions into structured analytical approaches. • Strong communication skills and ability to work collaboratively across Marketing, E-commerce, Product, Merchandising, Engineering, and Data teams. PST/or EST can work