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Sr Business Intelligence Engineer

Sr Business Intelligence Engineer

Job ID 
Posted Date 
Amazon Asia-Pacific Holdings Private Limited
Position Category 
Business Intelligence
Recruiting Team 

Job Description

Senior Business Intelligence Engineer – Kindle Content

As a lead Business intelligence engineer for Kindle Content in Singapore, you will take a leadership role in driving positive transformation in a market that is experiencing significant change. You will analyze large amounts of business data, discover and solve real world problems, and develop metrics and business cases and product recommendations that will enable us to continually delight Kindle customers in India. You will play a big role in designing data infrastructure and developing measurement and attribution models.
The ideal candidate will be a self-starter, highly analytical, and intensely detailed with a strong customer focus and perspective to drive strategy in a high-growth, fast-paced environment.The successful candidate in this role knows and loves working with business intelligence products, is comfortable accessing and working with data from multiple sources, and can partner with internal stakeholders like product managers to help drive successful prioritization and measurement for product features. Successful candidates have significant experience analyzing data, identifying trends, extracting conclusions, and presenting findings in a simple and clear manner. We are looking for someone who not only finds patterns in the data, but more importantly, understands how to turn those discoveries into value for our customers every day.

Responsibilities include:
· Analytics thought leadership
· Design and own product analytics to pipe the entire customer journey view and understand customer frustrations or roadblocks
· Improve data sources to enable more precise and timely output
· Set up and design instrumentation of specific signals like latency, crash rates and drop-offs to measure business health
· Build a robust measurement and attribution system that will evaluate success of feature launches
· Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations that will shape the Kindle Content business and the features we offer to readers.
· Suggest and build new metrics, measures and analyses that enables better perspective on the product features and business
· Develop cohort analyses, segmentation, trend and correlation analyses across multiple programs. Identify high value analyses that could help in driving better insights.
· Manage weekly, monthly, and quarterly business reporting, working across multiple teams to identify and present high-level analytics to key-stakeholders and executives;
· Create and dynamically update forecasts and design effective visualizations to convey actual performance and any deltas from forecast;
· Drive the collaboration with product management, engineering, user experience and personalization to ensure the right data models and signals are driving the roadmap.

Basic Qualifications

· Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Economics, Finance, Mathematics, Statistics, Engineering).

· 6+ years of relevant experience one of the following areas: data science, data engineering, business intelligence or business analytics.

· Expert-level proficiency in writing complex, highly-optimized SQL queries across large datasets.

· Demonstrated ability in data modeling, ETL development, and Data warehousing.

· Ability to manage competing priorities simultaneously and drive projects to completion.

Preferred Qualifications

· 6+ years of experience as a BI Engineer, Business/Financial Analyst or Systems Analyst in an internet-based company with large, complex data sources.
· Superior dashboard building capabilities (Tableau or MicroStrategy).

· Experience with AWS services including S3, Redshift, EMR and RDS.

· Experience with Machine Learning concepts and tools (Python experience is a strong plus).

· Knowledge with statistical and/or econometric modeling.

· Experience in BI/DW as a change leader providing strategic research, recommendations, and implementations.

· Demonstrated experience managing and prioritizing a project backlog.

· Demonstrated experience defining and driving an analytics roadmap.

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