Data Analyst-Ecommerce

4 weeks ago

Dubai, Dubai, United Arab Emirates Careers International Full time
About the Role

Careers International is seeking a highly skilled Data Analyst-Ecommerce to join our team. As a key member of our business intelligence team, you will be responsible for gathering, analyzing, and interpreting data related to various aspects of our ecommerce business.

Key Responsibilities
  • Data Collection and Management
    • Collect and manage data from multiple sources, including property management systems, booking engines, CRM systems, guest feedback, and social media platforms.
    • Ensure data accuracy, consistency, and completeness by implementing data cleaning processes.
    • Work with IT and database teams to maintain data warehouse solutions.
  • Revenue Management and Forecasting
    • Analyze historical booking data and current market trends to forecast occupancy rates and revenue.
    • Monitor and report on key performance indicators (KPIs) such as Average Daily Rate (ADR), Revenue per Available Room (RevPAR), and occupancy.
    • Assist the revenue management team in optimizing pricing strategies and distribution channels.
  • Customer and Market Analysis
    • Segment guests based on various criteria, such as demographics, stay patterns, and spending behavior.
    • Perform customer satisfaction analysis using guest surveys, online reviews, and other feedback mechanisms.
    • Track and analyze competitor data, industry trends, and market demands to provide strategic insights.
  • Operational Efficiency and Cost Analysis
    • Identify cost-saving opportunities by analyzing operational costs related to labor, utilities, and supplies.
    • Support decision-making by analyzing data on operational efficiency and identifying bottlenecks or areas for improvement.
    • Work with department heads to develop and monitor operational KPIs.
  • Reporting and Visualization
    • Develop dashboards, visualizations, and reports for senior management to provide insights into business performance.
    • Create custom reports for various departments, such as sales, marketing, and housekeeping, based on their specific needs.
    • Use data visualization tools, such as Tableau or Power BI, to present findings in an accessible and engaging way.
  • Predictive Modeling and Advanced Analytics
    • Apply predictive analytics to forecast future trends and support strategic planning.
    • Utilize machine learning algorithms to improve demand forecasting, customer segmentation, and personalized marketing efforts.
    • Use statistical analysis to determine the factors that most significantly impact business outcomes.
  • Cross-Functional Collaboration
    • Work closely with teams across departments, including marketing, operations, finance, and revenue management.
    • Communicate insights and recommendations effectively to stakeholders with varying levels of technical expertise.
    • Collaborate with technology and digital teams to implement data-driven solutions, such as personalized guest experiences and targeted promotions.
  • Data Security and Compliance
    • Ensure compliance with data protection regulations, such as GDPR, by managing data responsibly.
    • Implement data security best practices to protect sensitive guest and business information.
    • Work with legal and IT teams to ensure all data handling aligns with company policies and regulatory standards.
    Requirements
    • Experience in BI tools, such as Power BI or Tableau.
    • Preferable with Python and R knowledge.
    • Expert in advanced Excel.
    • Experience as a Data Analyst for ecommerce or loyalty platform, preferably with a mobile app.
    • Experience in analyzing customer journey and behavioral data.
    • Minimum qualification: Graduation in Engineering, Data Science, or Data Analytics.

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