Data Analyst
Analyze customer behavior and company performance across web and product platforms. Define and validate event tracking, investigate conversion funnels, and provide actionable insights in collaboration with product, engineering, and BI teams.
Responsibilities
- Define, implement, and maintain event tracking and data attributes across web and product platforms.
- Analyze data from web analytics, internal systems, session recordings, and online browsing activity.
- Investigate conversion funnels and trends, identify optimization opportunities, and flag potential issues.
- Monitor conversion, engagement, and company performance KPIs.
- Support e-commerce funnel optimization with data-backed insights.
- Partner with R&D, product managers, and cross-functional teams on tracking needs and feature launches.
- Validate analytics data in BI dashboards and reports; support reporting requests, dashboard design, QA, and acceptance.
- Deliver insights for company strategy and analytical projects.
Requirements
- Bachelor’s degree in Industrial Engineering and Management, Economics, Statistics, or a related analytical field.
- At least 2 years of experience in data analysis.
- Proficiency with web analytics tools such as Google Analytics/GA4, Mixpanel, Amplitude, Shopify Analytics, or Adobe Analytics.
- Proficiency in SQL and working with large, complex datasets.
- Strong Excel skills.
- Experience with BI tools and cross-functional collaboration involving product, technology, and BI teams.
- Understanding of conversion funnels, event tracking, and data quality validation.
- Fluent written and spoken English.
Nice to have
- Experience in customer-focused or digital analytics.
- Experience with QlikSense.