Key Skills: Adobe Analytics, Digital Analytics, SQL, Pyspark, Python
Roles and Responsibilities:
- Lead and support end-to-end digital analytics initiatives using Adobe Analytics and custom tagging solutions.
- Extract, process, and analyze large volumes of digital customer interaction data to uncover trends and behavioral insights.
- Write and optimize SQL and PySpark scripts for querying and transforming large datasets.
- Use Python for data cleaning, statistical modeling, and building reusable analytical tools.
- Partner with product, marketing, and UX teams to interpret data and provide strategic recommendations for platform enhancements.
- Develop dashboards and reports for digital KPIs, customer journeys, funnel analysis, and A/B test results.
- Apply statistical methods to assess campaign performance, customer engagement, and retention strategies.
- Ensure data accuracy, governance, and consistency in all reporting processes.
Skills Required:
- Proficiency in Adobe Analytics and digital tracking tools
- Strong SQL skills for data querying and transformation
- Working knowledge of PySpark for large-scale data processing
- Experience using Python for statistical modeling and analytics automation
- Ability to translate digital data into actionable business insights
- Hands-on experience with A/B testing and funnel analysis
- Strong understanding of data governance and quality assurance in reporting workflows
- Excellent collaboration skills with cross-functional business teams
Education: Bachelor's or Master's degree in Statistics, Computer Science, Engineering, Economics, or a related field