Business Intelligence Engineer II, Amazon

Business Intelligence Engineer II, Amazon

Amazon.in's Fulfilment by Amazon (FBA) & Reimbursement team is seeking a talented, self-driven and experienced Senior Business Intelligence Engineer to lead its advanced analytics wing for the FBA Product and Business team. This pivotal role provides an opportunity to work with an exceptionally innovative team, slice and dice multi-dimensional high depth data mines, and 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 a 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 and exposure to 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 datasets that answer those questions.

BASIC QUALIFICATIONS

- 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

PREFERRED QUALIFICATIONS

- 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

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.

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.

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