Business Intelligence Engineer (FAANG Bengaluru)

Hiring for a FAANG company.

Note:

About the Role:

Business Intelligence Engineer

You will collaborate closely with business stakeholders across geographies (Europe, US, Japan, Asia), working on payments and lending analytics. This is a high-ownership, high-impact role requiring a passion for data, a knack for storytelling through dashboards, and the ability to work independently in a fast-paced environment.

Key Responsibilities:

• Design and maintain dashboards, reports, and metrics to support executive-level business decision-making
• Ensure data accuracy and integrity across tools, dashboards, and reporting pipelines
• Use SQL, Excel, and scripting languages (e.g. Python, R, Java) for deep-dive analysis
• Develop BI tools and data visualizations using platforms like Tableau, AWS QuickSight, Looker, etc.
• Analyze business trends and apply statistical rigor (t-tests, chi-squared tests, regressions, forecasting) to derive insights
• Lead alignment and standardization of key metrics across global BI teams
• Model data and metadata to support robust analytics infrastructure
• Automate manual reporting efforts to enhance operational efficiency
• Work with cross-functional teams to recommend data-driven growth strategies
• Present insights and narratives to stakeholders including global leaders and executives

A Day in the Life:

• Define and refine performance metrics, reports, and insights for international payment systems
• Drive analytical alignment with global BI leaders and executive stakeholders
• Lead deep dives into metrics influencing revenue, signups, and operational performance
• Own VP- and Director-level reporting initiatives and decision-support analysis
• Collaborate across regions to deliver unified and actionable analytics strategies
  

Basic Qualifications:

• 2+ years of experience in data analytics using Redshift, Oracle, NoSQL, or similar data sources
• Strong SQL skills for data retrieval and analysis
• Proficiency in data visualization using

  Tableau

  ,

  QuickSight

  ,

  Power BI

  , or similar tools
• Comfort with scripting languages like

  Python

  ,

  Java

  , or

  R

• Experience applying statistical techniques to real-world data problems
  

Preferred Qualifications:

• Masters degree or other advanced technical degree
• Experience with

  data modeling

  and

  data pipeline architecture

• Strong grasp of statistical analysis techniques, including correlation analysis and hypothesis testing
  

Top 10 Must-Have Skills:

1. Advanced SQL

2. Data Visualization (Tableau, QuickSight, Power BI, Looker)

3. Statistical Analysis (t-test, Chi-squared, Regression)

4. Scripting (Python / R / Java)

5. Redshift / Oracle / NoSQL Databases

6. Dashboard & Report Development

7. Data Modeling & Pipeline Design

8. Cross-functional Global Collaboration

9. Business Metrics & KPI Definition

10. Executive-Level Reporting