Adobe Analytics(ecommerce)

Job Title: Ecommerce SME Analyst

Summary

Ecommerce SME Analyst

Key Responsibilities

• Clickstream & Ecommerce Analysis

  Analyze ecommerce clickstream data using

  Adobe Analytics

  to understand user journeys, identify drop-off points, and recommend optimizations for improved engagement and conversion.

• User Behavior Insights

  Segment and analyze user behavior to uncover patterns, preferences, and opportunities for personalization and targeting.

• Data Extraction & Transformation

  Use

  SQL

  and

  Python

  to query, clean, and transform large datasets from

  BigQuery

  and other data sources.

• Visualization & Reporting

  Build dashboards and reports using visualization tools (e.g., Tableau, Looker, Power BI) to communicate insights clearly to stakeholders.

• Product Strategy Support

  Partner with product and analytics teams to translate data insights into actionable recommendations that shape the product roadmap.

• KPI Definition & Tracking

  Define and monitor key performance indicators (KPIs) to evaluate the impact of product features and site changes.

• A/B Testing Analysis

  Design and analyze A/B tests to assess the effectiveness of new features and user experience improvements.

• Cross-Functional Collaboration

  Work closely with product managers, marketers, and engineers to understand data needs and deliver timely, relevant insights.

• Data Quality Assurance

  Ensure data accuracy and integrity through validation checks and collaboration with data engineering teams.

• Continuous Learning

  Stay current with industry trends, tools, and best practices in ecommerce analytics and data science.

Required Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
• Minimum 2 years of experience in ecommerce analytics.
• Strong hands-on experience with

  Adobe Analytics

  for tracking and analyzing user behavior.
• Proficiency in

  SQL

  and

  Python

  (including libraries like Pandas, NumPy, Matplotlib, Seaborn).
• Experience working with

  Google BigQuery

  or similar cloud-based data warehouses.
• Familiarity with data visualization tools (e.g., Tableau, Looker, Power BI).
• Strong analytical and problem-solving skills.
• Excellent communication skills to present findings to technical and non-technical audiences.
• Ability to work independently and collaboratively in a fast-paced environment.

Key Skills

• Adobe Analytics
• Python (Pandas, NumPy, Matplotlib, Seaborn)
• SQL
• Google BigQuery
• Ecommerce Analytics
• Clickstream & User Behavior Analysis
• Data Visualization & Reporting
• A/B Testing
• Product Strategy & KPI Tracking
• Communication & Collaboration
• Data Quality & Validation