Business Intelligence Engineer (2-4 Years)

Posted 6 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Mid level
Fintech • Financial Services
The Role
Build scalable data models, define data consumption and BI strategies, optimize queries, monitor performance trends, establish reporting and data-modeling best practices, and collaborate with engineering and product teams. The role also integrates AI and LLM capabilities into BI applications and automated insights while serving as a subject-matter expert for the analytics technology stack.
Summary Generated by Built In
Company Description

PhonePe Limited (Formerly PhonePe Private Limited) is a technology company that builds digital platforms for Payments, Digital Distribution Services and Financial Services. Headquartered in India, the PhonePe digital payments app was launched in 2016. As of April 2026, PhonePe has over 70 Crore life-till-date registered users and a digital payments acceptance network spread across over 5 Crore merchants. PhonePe’s products and services include Consumer Payments (including Digital Distribution Services), Merchant Payments, Lending and Insurance Distribution services, and New Platforms, which comprise Share.Market (stock broking and mutual funds distribution platform), and Indus Appstore (Android-based mobile app marketplace). Culture:

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!

Job Description

What kind of person are we looking for?

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.

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.

Qualifications

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.

Additional Information

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

Our inclusive culture promotes individual expression, creativity, innovation, and achievement and in turn helps us better understand and serve our customers. We see ourselves as a place for intellectual curiosity, ideas and debates, where diverse perspectives lead to deeper understanding and better quality results. PhonePe is an equal opportunity employer and is committed to treating all its employees and job applicants equally; regardless of gender, sexual preference, religion, race, color or disability. If you have a disability or special need that requires assistance or reasonable accommodation, during the application and hiring process, including support for the interview or onboarding process, please fill out this form.

Read more about PhonePe on our blog.

Life at PhonePe

PhonePe in the news

Skills Required

  • 2-4 years of data analytics or BI engineering experience
  • Advanced SQL and big data querying skills
  • Knowledge of Hive internals, big data querying, and query optimization
  • Understanding of BI and data visualization principles
  • Knowledge of leveraging AI or LLMs for BI applications
  • Strong understanding of data handling, data modeling, and data flows
  • Clear verbal and written communication skills
  • Knowledge of Python for data processing, pipelines, or AI integrations
  • Understanding of Airflow pipelines and data orchestration
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The Company
HQ: Bengaluru
1,000 Employees
Year Founded: 2015

What We Do

PhonePe was founded in December 2015 and has emerged as India’s largest payments app, enabling digital inclusion for consumers and merchants alike. With 48 crore (480 Million) registered users, one in four Indians are now on PhonePe. The company has also successfully digitized 3.6 crore (36 Million) offline merchants spread across Tier 2,3,4 and beyond, covering 99% of the postal codes across India. PhonePe is also the leader in Bharat Bill Pay System (BBPS), processing over 45% of the transactions on the BBPS platform. PhonePe forayed into financial services in 2017, providing users with safe and convenient investing options on its platform. Since then, the company has introduced several Mutual Funds and Insurance products that offer every Indian an equal opportunity to unlock the flow of money and access to services. PhonePe was recently recognized as the Most Trusted Brand for Digital Payments as per the Brand Trust Report 2023 by Trust Research Advisory (TRA).

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