Manager - Finance (Analytics)

Ways of Working - Employees will work from the office in hybrid mode (Bangalore). About SwiggySwiggy is India’s leading on-demand delivery platform with a tech-first approach to logistics and a solution-first approach to consumer demands. With a presence in 500+ cities across India, partnerships with hundreds of thousands of restaurants, an employee base of over 5000, a 2 lakh+ strong independent fleet of Delivery Executives, we deliver unparalleled convenience driven by continuous innovation.

Built on the back of robust ML technology and fueled by terabytes of data processed every day, Swiggy offers a fast, seamless and reliable delivery experience for millions of customers across India. From starting out as a hyperlocal food delivery service in 2014, to becoming India’s leading on-demand convenience platform today, our capabilities result not only in lightning-fast delivery for customers, but also in a productive and fulfilling experience for our employees. Role BriefWe’re looking for a Manager – Finance Analytics to enable data-driven decision-making across the finance function.

This role will focus on extracting data from key finance systems, working with large offline datasets, and delivering insights through interactive dashboards and structured reporting. Key ResponsibilitiesData Extraction & Management: Work with systems like Oracle Fusion, Concur, and Zoho Finance to source relevant financial data. Manage offline / legacy datasets to ensure completeness. Analytics & Dashboarding: Design and maintain financial dashboards, enabling insights across budgeting, cost control, forecasting, and business performance. Insight Generation: Analyze financial trends, variances, and KPIs to support decision-making across finance and business teams. Stakeholder Collaboration: Partner with multiple stakeholders to understand reporting needs and deliver high-impact analytics.

Data Consistency & Governance: Ensure clean, reliable data across all reporting layers with a focus on standardization and accuracy. QualificationsExperience in analytics. Strong hands-on experience with SQL, Python, Power Query & Power BI, Qlikview, Alteryx, Amazon QuickSight, MS Excel Macros, MS Access and financial systems. Comfortable working with large datasets, including offline or legacy sources. Strong understanding of financial concepts: budgeting, forecasting, cost analysis, profitability metrics. Excellent communication and stakeholder management skills. Good To Have SkillsFamiliarity with Oracle Fusion, Concur, or Zoho Finance. Exposure to high-growth or digital-first business environments. Experience in automating reporting workflows.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regards to race, color, religion, sex, disability status, or any other characteristic protected by the law.