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Business Intelligence Engineer, FinOps IN BP

Bengaluru, Karnataka, India💼 Full-time🗓 2026-07-08 → 2026-07-15

Core

Design, develop, and maintain scalable data solutions and reporting systems to drive business decisions.

Role type

Business Intelligence Engineer

Builds

Data pipelines, automated reporting systems, dashboards, and A/B testing frameworks

Domain

FinTech / Data Engineering

Deliverable

production ML models | dashboards & analysis

Required skills

SQL, data modeling, ETL processes, Python, Java, R, Tableau, PowerBI, Quicksight, statistical methods (t-test, Chi-squared), NoSQL, Oracle, Redshift

Preferred skills

Master's degree, data pipeline design, statistical analysis, correlation analysis

Responsibilities

Design and implement data models and ETL processes, create scalable data pipelines, develop interactive dashboards, build complex SQL queries and stored procedures, partner with business teams to translate needs into technical specs, provide technical guidance to junior members, lead technical discussions with stakeholders, create automated alert systems, design A/B testing frameworks

Seniority

Mid-level, hands-on IC

Rewrite
## Responsibilities ### Data Architecture & Development - Design and implement data models, ETL processes, and reporting solutions - Create and maintain scalable data pipelines - Develop automated reporting systems and dashboards ### Business Partnership - Partner with business teams to understand reporting requirements - Translate business needs into technical specifications - Provide technical guidance to junior team members - Lead technical discussions with stakeholders ### Analytics & Reporting - Build complex SQL queries and stored procedures - Develop interactive dashboards using visualization tools (Tableau/PowerBI) - Create automated alert systems for business metrics - Design and implement A/B testing frameworks ## Requirements ### Basic Qualifications - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with scripting language (e.g., Python, Java, or R) ### Preferred Qualifications - Master's degree, or Advanced technical degree - Knowledge of data modeling and data pipeline design - Experience with statistical analysis, co-relation analysis ## Benefits Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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