Product Data Analyst

Responsibilities

• Conduct deep-dive analysis into product performance, customer behavior and market trends to identify opportunities for product enhancement and innovation.

• Collaborate with product teams to define key performance indicators (KPI) and develop dashboards and reports that track product success and inform strategic decisions.

• Utilize advanced analytics and predictive modeling to forecast demand, customer preferences and provide support to business case development for product roadmap.

• Engage in cross-functional projects to ensure that data insights are integrated into product development and customer experience strategies.

• Collaborate with data engineering and data science teams to continuously refine data collection, transformation and analysis methods to improve accuracy, quality, efficiency, and governance.

• Design, guide, execute and analyze experiments to test hypotheses related to product enhancements and customer experience improvements.

Requirements

• Minimum of 3 years of experience in data analytics or related fields, preference for experience with product analytics.

• Bachelor’s or Master degree in Data Science, Statistics, Economics or a related field with strong quantitative foundation.

• Expertise in analytical and statistical tools and languages (eg. SQL, Python) and familiarity with A/B testing and other experimentation frameworks.

• Ability to translate complex data into actionable insights and to communicate these effectively across technical and non-technical audiences.

• Comprehensive knowledge of e-commerce including and customer journey, shopping funnels and behavior analysis.

• Proven experience designing and maintaining dashboards using leading BI tools.

• Experience with ETL processes and orchestration is highly desirable.

• Fluency in English, with excellent written and verbal communication skills.