Amazon.in's Fulfilment by Amazon (FBA) & Reimbursement team is seeking for a talented, self-driven and experienced Senior Business Intelligence Engineer to lead its advanced analytics wing for FBA Product and Business team. This pivotal role provides you opportunity to work with an exceptionally innovative team, slice and dice multi-dimensional high depth data mines, build complex data models to provide data driven insights for high impact decisions spanning across Merchant and Customer experience improvement Product/Program initiatives.
Are you customer obsessed, flexible, smart and analytical, strategic yet execution focused and passionate about e-commerce? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.
To be successful in this role, you will have the ability to roll up your sleeves, innovate, and quickly become a subject matter expert to assess business performance across sellers and market segments.
You will be a self-starter who is willing to work hands-on, is comfortable with ambiguity and large data sets. You will be part of the Central Analytics team working with Stakeholders, Data Engineers, Business Intelligence Engineers and Business Analysts to achieve our goals. You will also have strong communication skills, be able to work closely with stakeholders and translate data-driven findings into actionable insights.
You will have demonstrated proficiency in SQL across variety of databases, BI tools, R or Python to analyze large data sets.
Key job responsibilities
Passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets Exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 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
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
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