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E-commerce Data Analyst

Université Félix HOUPHOUËT-BOIGNY Abidjan-Cocody

Abu Dhabi, United Arab Emirates (Hybrid) · Part Time

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Experience
Any
Salary
Openings
1
Posted
8시간 전
Work mode
Hybrid
Education
Bachelor's degree or equivalent experience in Data Science, Statistics, Economics, Computer Science, Business Analytics, or related fields
Resume
Required to apply

Where you'll work

Job description

Role Overview

As an E-commerce Data Analyst with Université Félix HOUPHOUËT-BOIGNY Abidjan-Cocody based in Abu Dhabi, you will play a key role in enabling data-driven strategies for online sales and digital projects. This position is part-time and hybrid, allowing a blend of on-site presence and remote work.

Key Duties

  • Gather and cleanse data from multiple e-commerce platforms to ensure accuracy.
  • Develop and upkeep dashboards to track key performance indicators.
  • Analyze metrics related to website traffic, sales conversions, customer patterns, and product outcomes.
  • Create comprehensive reports and data visualizations tailored for varied stakeholder audiences.
  • Collaborate across academic and administrative divisions to define relevant metrics and measures.
  • Offer actionable recommendations to enhance user engagement, boost revenue, and streamline operations.
  • Test hypotheses and assess effectiveness of marketing activities.
  • Support ongoing refinement of data quality and analytical workflows.

Required Expertise

  • Strong analytical capabilities with a robust grounding in data analysis techniques.
  • Applied understanding of statistical methods for hypothesis testing, forecasting, and evaluating performance.
  • Experience in structuring data models specific to e-commerce contexts to facilitate reporting and visualization.
  • Effective communication skills to translate data insights for both technical and non-technical team members.

Preferred Qualifications

  • Familiarity with e-commerce platforms and digital analytics tools such as Google Analytics.
  • Proficiency in SQL or similar data querying languages.
  • Experience using data visualization tools, e.g., Power BI or Tableau.
  • Educational background in Data Science, Statistics, Economics, Computer Science, Business Analytics, or related disciplines.
  • Ability to efficiently manage hybrid work schedules and part-time commitments.

Work styles they’re looking for

Communication Analytical Thinking Time Management Collaboration

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