Amazon

Business Intel Engineer II, Strategy, Tool GTM, Enablement and Planning (STEP) Analytics - Ads

Posted On

March 5, 2026

Location

Bengaluru, Karnataka

Experience Level

Freshers/Experienced

Job Type

Business Intelligence

Apply By

March 24, 2026

Job Description

Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a highly respected e-commerce platform. As an extension of this, Amazon encourages sellers/vendors to offer products to Amazon customers through various advertising. The Strategy, Tool GTM, Enablement and Planning (STEP) organization is an enablement function for global advertising sales and account management teams and helps provide scale to add new participants and help them engage effectively with the ad programs. We work on various ad programs like Segmentation, Cost to Sell, Competitive Intelligence etc.

STEP Analytics team is looking for a talented and driven Business Intel Engineers who can extract meaning from large volumes of data to make the right business decisions. You will leverage your passion for BI to seek out and structure data to propel our insights and analytics capabilities forward. You will work closely with senior leaders to understand their information needs and then build scalable solutions to deliver the key insights to make business decisions.

Key job responsibilities
1) Reporting of key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines
2) Respond with urgency to high priority requests from senior business leaders
3) Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
4) Amazon.com strives to be Earth's most customer-centric company where people can find and discover virtually anything they want to buy online. By giving customers more of what they want - low prices, vast selection, and convenience - Amazon.com continues to grow and evolve as a highly respected e-commerce platform. As an extension of this, Amazon encourages sellers/vendors to offer products to Amazon customers through various advertising. The Strategy, Tool GTM, Enablement and Planning (STEP) organization is an enablement function for global advertising sales and account management teams and helps provide scale to add new participants and help them engage effectively with the ad programs. We work on various ad programs like Segmentation, Cost to Sell, Competitive Intelligence etc.

STEP Analytics team is looking for a talented and driven Business Intel Engineers who can extract meaning from large volumes of data to make the right business decisions. You will leverage your passion for BI to seek out and structure data to propel our insights and analytics capabilities forward. You will work closely with senior leaders to understand their information needs and then build scalable solutions to deliver the key insights to make business decisions. Ensure data accuracy by validating data for new and existing tools. Learn and understand a broad range of Amazon's data resources and know how, when, and which to use and which not to use.

A day in the life
You will work in one of the complex data environments and will innovate on behalf of our advertising customers. You will bring data together to answer business questions and guide our businesses by pushing the boundaries of data analytics and science to solve analytics problems in a fast-moving environment. You will collaborate with internal partners from tech, science, sales, marketing, finance, and other cross-functional teams to deliver successfully against high organizational standards.- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
- • Experience with data visualization using Tableau, Quicksight, or similar tools
- • Experience with data modeling, warehousing and building ETL pipelines
- • Experience in Statistical Analysis packages such as R, SAS and Matlab
- • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

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