యు
E-commerce Data Analyst
Université Félix HOUPHOUËT-BOIGNY Abidjan-Cocody
Abu Dhabi, United Arab Emirates (Hybrid) · పార్ట్ టైమ్
దరఖాస్తు చేసుకునే వారిలో మొదటి వ్యక్తిగా ఉండండి
- అనుభవం
- ఏదైనా
- జీతం
- —
- ఖాళీలు
- 1
- పోస్ట్ చేయబడింది
- 1 గంట క్రితం
- పని విధానం
- హైబ్రిడ్
- విద్య
- Bachelor's degree or equivalent experience in Data Science, Statistics, Economics, Computer Science, Business Analytics, or related fields
- పునఃప్రారంభం
- దరఖాస్తు చేసుకోవాలి
మీరు ఎక్కడ పని చేస్తారు
ఉద్యోగ వివరణ
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.
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