Data Analysis Engineer

4 weeks ago


Bengaluru, Karnataka, India ADCI - Karnataka - A66 Full time

We are seeking a seasoned data professional to join our Amazon Worldwide Operations Finance Standardization & Automation (SnA) Tech team in Bengaluru, India. The ideal candidate will be responsible for driving analytics and reporting efforts to enhance Operations Finance-facing systems, processes, and tools.

About the Role

This role demands a comprehensive grasp of data and reporting, requiring an individual with strong analytical capabilities and exceptional business acumen. As a valuable member of the growing Business Intelligence Engineering (BIE) team within the central Tech organization supporting WW operations finance, you will play a crucial role in shaping our strategic innovation program.

Your contribution will empower project teams with insights into operational performance. The dynamic growth of the business and the evolving complexity of the global transportation network make this position both exciting and challenging. The ideal candidate will not only elevate the standard for data retrieval and analysis but will also exhibit a keen curiosity to understand the business holistically, proactively delving into issues as they arise.

Key Responsibilities
  • Identify complex business problems, recognizing opportunities, and implementing solutions to enhance Operations Finance-facing systems, processes, and tools
  • Set data modeling standards, construct complex data pipelines, build and maintain multiple databases, identify complex/abstract problems, and uncover insights through the use of statistical, data mining, and visualization techniques
  • Contribute to process automation by developing deep-dive tools, user interfaces (UIs), metrics, and dashboards to communicate insights in real-time to business teams
Requirements

The ideal candidate is expected to have:

  • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL 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 with AWS solutions such as EC2, DynamoDB, S3, and Redshift
Salary

The estimated salary for this position is ₹1,200,000 - ₹1,800,000 per annum, depending on qualifications and experience.



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