Business Intelligence Engineer (1 - 3 Years)

Headquartered in India, its flagship product, the PhonePe digital payments app, was launched in Aug 2016. As of April 2025, PhonePe has over 60 Crore (600 Million) registered users and a digital payments acceptance network spread across over 4 Crore (40+ million) merchants. PhonePe also processes over 33 Crore (330+ Million) transactions daily with an Annualized Total Payment Value (TPV) of over INR 150 lakh crore. 

PhonePe’s portfolio of businesses includes the distribution of financial products (Insurance, Lending, and Wealth) as well as new consumer tech businesses (Pincode - hyperlocal e-commerce and Indus AppStore Localized App Store for the Android ecosystem) in India, which are aligned with the company’s vision to offer every Indian an equal opportunity to accelerate their progress by unlocking the flow of money and access to services.

At PhonePe, we go the extra mile to make sure you can bring your best self to work, Everyday!. And that starts with creating the right environment for you. We empower people and trust them to do the right  thing. Here, you own your work from start to finish, right from day one. PhonePe-rs solve complex problems and execute quickly; often building frameworks from scratch. If you’re excited by the idea of building platforms that touch millions, ideating with some of  the best minds in the country and executing on your dreams with purpose and speed, join us!

• Work with large-scale datasets and solve real-world data modeling challenges to ensure scalability, flexibility, and efficiency in reporting and analytics.
• Develop interactive Qlik dashboards for various stakeholders to support data-driven decision-making.
• Help build and optimize data models that support robust reporting and analytics capabilities, while ensuring seamless integration with the organization’s data architecture.
• Collaborate with stakeholders to understand data requirements and ensure the right data is provided at the right time.
• Use modern open-source tools and technologies in the data processing stack, with opportunities to experiment and implement automation to improve data workflows.
• Contribute to the design and development of scalable data warehousing pipelines to process and aggregate raw data into actionable insights.
• Learn and grow in a dynamic environment, gaining expertise in BI and data visualization best practices.

• 1-3 years of BI experience in relevant roles, preferably in a product-based firm.
• Proficient with Qlik Sense development, dashboard design and performance optimization.
• Proficient in creating and managing Qlik Sense reports, charts, and visualizations.
• Data warehousing, modeling & data flow understanding is desired.
• Strong knowledge in SQL - Hive experience will be preferred.
• Translate complex business requirements into interactive dashboards and reports.
• Good in collaboration and execution rigor.

Life at PhonePe

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