Senior Data Analyst

Company Description Truffles Hospitality Pvt. Ltd. was founded in Bengaluru by Directors Avinash Bajaj and Ruby De with a clear focus on continuous improvement and uncompromising quality. Over 14 years, the company has grown into a recognized brand in the city’s Food & Beverage industry, operating 6 successful outlets supported by a team of more than 500 hospitality professionals. Truffles is known for high-quality dishes made from fresh, naturally sourced ingredients and premium components. The team takes a hands-on, creative approach to building flavors from the ground up, resulting in distinctive “Truffles Original” dishes. This culture of craftsmanship and innovation shapes both the guest experience and internal work environment. Role Description The Senior Data Analyst is a full-time, on-site position based in Bengaluru, responsible for transforming operational and customer data into actionable insights. This role involves designing and maintaining dashboards and reports that support decision-making in areas such as store performance, menu optimization, inventory management, and customer behavior. The Senior Data Analyst will gather data from multiple systems, clean and validate datasets, perform statistical analysis, and build data models that forecast trends in sales, footfall, and product demand. The role includes collaborating closely with operations, finance, marketing, and leadership teams to define metrics, interpret findings, and recommend improvements that enhance efficiency and guest experience. The Senior Data Analyst will also help establish data governance practices, mentor junior analysts, and contribute to the development of a data-driven culture across the organization. Qualifications Candidates should possess strong Analytical Skills and proven experience in Data Analytics for business decision support. Candidates should possess solid knowledge of Statistics for hypothesis testing, forecasting, and performance measurement. Candidates should possess experience in Data Modeling and working with relational databases or data warehouses. Candidates should possess effective Communication skills, including the ability to present complex data in clear, actionable terms to non-technical stakeholders. Proficiency in tools such as Excel, SQL, and at least one data visualization platform (e.g., Power BI, Tableau, or similar) is beneficial. Experience with programming languages for data analysis (e.g., Python or R) and handling large datasets is preferred. Background in hospitality, retail, or consumer-focused industries is an advantage, with an understanding of operational and customer-centric metrics. Bachelor’s or master’s degree in Data Science, Statistics, Economics, Engineering, Computer Science, or a related quantitative field is preferred. Demonstrated ability to work collaboratively on-site with cross-functional teams and to manage multiple projects in a fast-paced environment. Show more Show less