Amazon

Business Intelligence Engineer, IN-COBRA

Posted On

July 22, 2025

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

Aug. 12, 2025

Job Description

IN-COBRA (center of business reporting and analytics), the central BIE team for IN-Stores, requires a BIE who will help us make effective decisions based on data from multiple sources, compiling it and triangulating it into a digestible and actionable format and dashboards. This will help us provide historic information on our business metrics, our customer metrics and make effective decisions for future.

The BI will create pipelines for reports to analyze data, make sense of the results and be able to explain what it all means to key stakeholders. This individual will analyze large amounts of data, discover and solve real world problems and build metrics and business cases around key performance of the project tez programs. The ideal candidate will use a customer backwards approach in deriving insights and identifying actions we can take to improve the customer experience and conversion for the program.

Key job responsibilities
• Develop and streamline necessary dashboards and one-off analyses, providing ability to surface business-critical KPIs, monitor the health of metrics and effectively communicate performance.
• Partner with stakeholders and other Business Intelligence teams to acquire necessary data for robust analysis.
• Convert data into insights including implications and recommendations that are specific and actionable for the Private Brands team and across the business.
• Partner with other analysts as well as data engineering and technology teams to support building a best-in-class dashboards and data infrastructure.
• Communicate insights using data visualization and presentations to stakeholders
• The successful candidate will be an expert with analyzing large data sets and have exemplary communication skills. The candidate will need to be a self-starter, very comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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)
- Experience with building back-end aggregated tables/pipelines using ANDES, AWS Cradle, S3

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