BIE II, ShipTech Analytics

Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence · Data Analysis

In short

Amazon's ShipTech Analytics team is seeking a Business Intelligence Engineer II (BIE II) in Hyderabad to develop data and analytics solutions for its global transportation network. This role involves building near-real-time and batch processing pipelines, creating metrics, and contributing to AI-powered solutions, requiring expertise in data modeling, ETL, and business intelligence tools.

Responsibilities

Design, develop, and implement dashboards, metrics, KPIs, and analytical reports to support Amazon's global transportation network.
Partner with business stakeholders to gather requirements and translate them into technical solutions.
Collaborate with technology teams to extract, transform, and load data from various sources using SQL and ETL tools.
Build high-quality data pipelines for data engineers, business analysts, data scientists, and customer reporting.
Apply statistical methodology and analysis with programming skills to solve complex business problems.
Continuously improve reporting and analysis processes, automate pipelines, and build AI-powered solutions.
Implement training and documentation for self-serve reporting tools.
Communicate effectively, be self-driven, and deliver high-quality results in a fast-paced environment.

Requirements

3+ years of experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
2+ years of experience with Tableau Desktop, Quicksight, or other relevant data visualization software.
Experience with data visualization using Tableau, Quicksight, or similar tools.
Experience with data modeling, warehousing, and building ETL pipelines.
Experience using SQL to pull data from a database or data warehouse.
Experience with scripting (Python) to process data for modeling.
Experience developing and presenting recommendations for new metrics to improve business performance understanding.

Desired Qualifications

Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics, or an equivalent quantitative field.
Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift.
Experience in data mining, ETL, and using databases with large-scale, complex datasets in a business environment.

Benefits

Opportunity to be at the forefront of engineering big data analytical solutions.
Work with cutting-edge AWS technologies and big data tools.
Empower operations teams worldwide with analytical solutions.
Contribute to innovative AI-powered solutions.
Opportunity to mentor others, prototype new ideas, and shape the future of data analytics.
Collaborate with cross-functional partners and global teams.
Inclusive culture that empowers Amazonians.

Skills

SQLPythonRedshiftOracleNoSQLTableauQuicksightHadoopSparkEMRSNSSQSLambdaKinesis FirehoseDynamoDB StreamsEC2DynamoDBS3

#data modeling#ETL#business intelligence#big data#AWS#SQL#Python#dashboards#metrics#KPIs#transportation#AI

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