web analytics

Business Intelligence Engineer II, Wireless

Amazon

Our mission: To be Earth's most customer-centric company.

DESCRIPTION

Job summary
As a part of the Amazon India consumer business team, we work on projects to bring science and automation into high impact decisions by leveraging data and technology. In this workstream, we work with a diverse team of Economists, Data Scientists, Data Engineers, Business Intelligence Engineers and Software Development Engineers.

The ideal candidate is highly analytical, resourceful, customer-focused, and collaborative. He/she will need to build a strong understanding of different businesses and be able to translate business requirements into analytics which will need to be communicated to business either in the form of insights, visualizations and automated models. The candidate should be comfortable with ambiguity and open to learn different technologies.

Key job responsibilities
1. Understand business requirements, understand what data is needed to solve those requirements, build insights and analytics to answer business queries.
2. Automate repetitive business processes and dashboards.
3. Work with ML and Econometric teams on building models which leverage data to solve important business problems
4. Build and scale the analytics infrastructure

BASIC QUALIFICATIONS

* Advanced knowledge in a variety of industry analytics and metrics visualization tools (e.g., Excel, Tableau/QuickSight/MicroStrategy/PowerBI).
Understands one or more scripting languages (e.g. Python, R, Shell) in order to update or troubleshoot existing scripts for basic BI use cases (e.g. data transformations, statistical tests and analyses, process automation).
Able to support a basic cloud-based database solution (e.g. Redshift, S3).
Has a deep understanding of data lineage: the technical systems by which data is generated; how metrics are aggregated; and how the resulting business intelligence is consumed, interpreted and acted upon by the business.
Able to apply basic statistical methods (e.g. regression) to difficult business problems and understand these methods’ assumptions and limitations.
Able to take the lead on the technical solution to a complex business problem. They can design the right analytics strategy, define the necessary data set, implement, and deliver. Examples can be a refactor or a new analytics

PREFERRED QUALIFICATIONS

* Is able to evaluate end-to-end data designs for strengths and weaknesses (e.g. data quality, scalability, latency, security, performance, data integrity).
Has knowledge of statistical or graphical methods to calibrate and assess KPIs. Able to set alarms on metrics based on historical variance and calculate confidence intervals and statistical tests.
* Experience working on ML and Econometric projects

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Business Intelligence Engineer II, Wireless

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Contact us

Amazon

Our mission: To be Earth's most customer-centric company.

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