Data Analytics Specialist

Job Role: Data Analytics Specialist Department: Product & Tech Location: Bangalore Experience: 5-8 years About the Role: We are seeking a Data Analytics Specialist to drive data-driven decision-making and optimize business performance. The ideal candidate will analyze complex datasets, generate actionable insights, and collaborate with cross-functional teams to enhance our travel solutions and customer experiences. Key Responsibilities: Data Analysis & Insights Generation: Analyze large datasets to identify trends, patterns, and opportunities for business growth. Provide actionable insights to improve operational efficiency, customer experience, and revenue generation.

Business Performance Monitoring: Develop dashboards and reports to track key business metrics. Monitor travel trends, customer behaviors, and market dynamics to support strategic planning.

Collaboration with Stakeholders: Work closely with marketing, sales, and product teams to provide data-driven recommendations. Present findings in a clear, concise manner to senior leadership and stakeholders.

Data Governance & Quality Assurance: Ensure accuracy, consistency, and integrity of data across various platforms and reports. Implement best practices for data management and compliance with industry standards.

Advanced Analytics & Predictive Modeling: Utilize statistical models and machine learning techniques to forecast business outcomes. Identify opportunities for automation and process improvements.

Requirements: 5-8 years of experience in data analytics, preferably in the travel or hospitality industry. Strong proficiency in data visualization tools such as Tableau, Power BI, or similar. Expertise in SQL, Python, or R for data manipulation and analysis. Solid understanding of statistical methods and predictive analytics. Ability to translate complex data into meaningful business insights. Excellent problem-solving, communication, and presentation skills.

Preferred Qualifications: Bachelor's or Master's degree in Data Science, Analytics, Statistics, or a related field. Experience with cloud-based data platforms such as AWS, Azure, or Google Cloud. Knowledge of customer segmentation, pricing analytics, and campaign performance tracking. Familiarity with travel industry data sources and analytics frameworks.