Business Intelligence Engineer
PhonePe • Bangalore, India
Role Summary
Strong data-first BI Engineers who are passionate about working with data and building systems that will provide data availability for an organization that’s growing at scale. If you’re a curious mind who constantly questions the status-quo, then you’d fit right in with us.
About the Team
PhonePe Full Time Employee Benefits (Not applicable for Intern or Contract Roles) Insurance Benefits - Medical Insurance, Critical Illness Insurance, Accidental Insurance, Life Insurance Wellness Program - Employee Assistance Program, Onsite Medical Center, Emergency Support System Parental Support - Maternity Benefit, Paternity Benefit Program, Adoption Assistance Program, Day-care Support Program Mobility Benefits - Relocation benefits, Transfer Support Policy, Travel Policy Retirement Benefits - Employee PF Contribution, Flexible PF Contribution, Gratuity, NPS, Leave Encashment Other Benefits - Higher Education Assistance, Car Lease, Salary Advance Policy
Detailed Job Description
What would you get to do in this role? Be an integral part of defining the data consumption strategy across the org. You’ll also monitor performance trends and influence any interventions based on performance. Collaborate closely with the engineering and product functions to understand the data flow and architecture, finding the best tech solutions from an Analytics standpoint to build scalable data models. Drive integration of AI capabilities to build forward-looking, BI-focused applications and automated insights. Define processes and best practices when it comes to data modeling, consumption, querying, and reporting. Become an SME in the tech stack being used across the different analytics functionalities and become the go-to person for unblocking any tech boundaries. What do you need to have to apply for this position? 2-4 years of data analytics or BI engineering experience in relevant roles. Advanced SQL & Big Data: Ability to write complex queries to manipulate and consolidate multiple data sources. Hive Expertise: Good knowledge of Hive internals, big data querying, and query optimization techniques. BI & Visualization Principles: A strong grasp of data visualization and BI design principles. (Expertise in specific tools like Qlik, PowerBI, or Tableau is not strictly required; we value your foundational understanding of how to build effective visual data stories). AI Integration: Knowledge of leveraging AI/LLMs to build smart, BI-focused applications. Data Architecture: Strong understanding of data handling, data modeling, and data flows. Communication: Ability to clearly explain thoughts and ideas either verbally or in written form. Knowledge of Python (especially for data processing, pipelines, or AI integrations). Good to have (Bonus Skills): Understanding of basic engineering concepts behind Airflow pipelines and data orchestration.