Business Intelligence Engineer I, GCOI

GCOI (Grocery Catalog Ops and Intel) is looking for an experienced Business Intelligence Engineer with excellent technical and analytical abilities. If you are a self-starter, someone who thrives in a fast-paced and ever-changing environment, with a passion for building scalable long-term solutions, then you are the right candidate for our team. In this role, the candidate would work closely with operations, product/program, and tech teams across the US Grocery business to build a variety of bespoke data solutions that directly impact the business' top and bottom lines.\n
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\nThe position is based in Hyderabad, but will interact daily with leaders in NA and IN.\n
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\nWe seek a quick-learner who can quickly familiarize themselves with a fast-paced environment, build relationships with cross-functional teams, and assume ownership for a broad array of domains. Flexibility, and an ability to prioritize will be key. Our team culture is goal-oriented, collaborative and driven to achieve results.\n
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\nKey job responsibilities\n
\n• Explore and develop expertise with internal Amazon data services and AWS products.\n
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\n• Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs.\n
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\n• Use analytical and statistical rigor to solve complex problems and drive business decisions. Analyze and validate data to maintain high data quality bar.\n
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\n• Own advanced data extraction needs for your customers.\n
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\n• Own the maintenance of ongoing metrics, reports, and other artifacts used to drive key business decisions.\n
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\n• Create high quality documentation for your customers and team members.\n
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\n• Work with team members and business customers to gather requirements.\n
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\nAbout the team\n
\nGrocery Catalog Operations and Intel (GCOI) supports Amazon’s Grocery Catalog through New Item Setup, Audits & Edits, SOP management, Data management, Process Automation, etc.\n
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BASIC QUALIFICATIONS

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- 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience\n
\n- Experience with data visualization using Tableau, Quicksight, or similar tools\n
\n- 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)\n
\n- Experience with scripting language (e.g., Python, Java, or R)\n
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PREFERRED QUALIFICATIONS

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- Master's degree, or Advanced technical degree\n
\n- Knowledge of data modeling and data pipeline design\n
\n- Experience with statistical analysis, co-relation analysis\n
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\nOur inclusive culture empowers Amazonians to deliver the best results for our customers.