Book n Rent is a platform that seamlessly connects millions of users with unforgettable experiences, a wide range of transportation options, and incredible places to stay. We are a one-stop solution for all your travel and accommodation needs.
Role Description
Location: Gulberg 3 Lahore
• Collect and consolidate sales data from various sources, including SQL, CRM systems, spreadsheets, also internal databases, customer feedback systems, and third-party platforms.
• Ensure data integrity and accuracy through rigorous validation and quality assurance processes.
• Clean and process raw data to ensure accuracy and completeness.
• Analyze sales data to identify trends, patterns, and insights that can drive sales growth and optimize performance.
• Create reports and dashboards to visualize key sales metrics and KPIs for stakeholders.
• Develop forecasting models and predictive analytics to anticipate future sales trends and outcomes.
• Collaborate with sales managers and executives to understand business objectives and provide data-driven recommendations.
• Conduct ad-hoc analysis and deep dives into specific sales-related questions or challenges.
• Stay updated on industry trends and best practices in sales analytics and data visualization.
• Translate complex data findings into actionable insights and recommendations for improving guest experiences, optimizing revenue streams, and preparing reports.
• Stay up-to-date on industry trends, best practices, emerging technology in data analytics and hospitality.
Qualification:
• Bachelor's degree in Business Administration, Statistics, Economics, Mathematics, or related field.
• Proven experience as a data analyst, preferably in a sales or marketing environment.
• Proficiency in data analysis tools and software, such as Excel, SQL, and Python, Power BI, PowerPoint.
• Strong analytical skills with the ability to interpret complex datasets and extract actionable insights.
• Detail-oriented with a high level of accuracy and attention to detail.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Expert in Machine learning to develop and study statistical algorithms that can learn from data and generalize to unseen data.