Offers “Amazon”

Expires soon Amazon

ES Tech, Business Intelligence Engineer

  • Internship
  • Bengaluru (Bangalore Urban)
  • IT development

Job description



DESCRIPTION

Do you love to solve business problems using data and science?

Amazon's Employee Services Technology (ES Tech) is looking for an experienced Business Intelligence Engineer to join our Research and Applied Science team to provide support building and automating ETL pipelines for our ML, NLP, and forecasting models, and to generate reports and dashboards to present results to our customers. Our team delivers science-based data solutions to a diverse, global community of internal customers from one of the world’s largest and most complex human resources organizations. Amazon has a culture of data-driven decision-making, and demands business intelligence that is timely, accurate, and actionable.

You will be responsible for designing and implementing solutions using Amazon cloud and third party technologies. A successful candidate loves working with data and providing scientific solutions to business problems, is knowledgeable about business intelligence ETL tools, is comfortable accessing and working with big data from multiple sources, and is obsessed with delivering scalable solutions to our customers. She/he will need to be able to partner with our team of Applied Scientists and Economists to build scalable solutions, be curious about new tools and algorithms, and have excellent analytical and technical abilities. In your new position you will be a leader, able to handle ambiguity while thinking of the big picture in a fast-paced dynamic environment.

Responsibilities:
· Design structured, multi-source, automated and scalable solutions to prepare the data necessary for science projects.
· Build dashboards and reports that make the model outputs actionable.
· Support scientists and economists and product managers by turning business requirements into functional specifications and then executing deliver
· Lead the technical lifecycle of data presentation from data sourcing to transforming into user-facing metrics

PREFERRED QUALIFICATIONS

· Data science expert with Machine Learning experience
· A passion for metrics and figures, high attention to details, and interest of scientific data models
· Strong bias for action, including the ability to juggle multiple priorities and ability to meet deadlines
· Exposure to AWS or other cloud technologies is a plus
· Power user with Tableau/PowerBI or other BI tools
· Experience using Python to build simple web applications or APIs.

Desired profile



BASIC QUALIFICATIONS

· Degree in Computer Science, Mathematics, Statistics, or related quantitative field
· 3+ year of experience in a business intelligence or statistical analysis role
· Experience with SQL and a scripting language, preferably Python
· Experience in building relational databases, designing ETL jobs, working with reporting/BI platforms or leveraging statistics for data analytics
· Experience with the creation and ownership of metrics/reporting/dashboards
· Strong team player with the ability to work in a diverse environment with people in various locations
· Ability to work independently in a fast-paced and rapidly changing environment.

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