Business Intelligence Engineer II, Retail Business Service Data Engineering Team

Amazon; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

ADCI - Tamil Nadu - A83 is seeking a data-driven Business Intelligence Engineer to support Retail Business Services. You will handle large data sources, build metrics, and deploy ML models while collaborating with researchers and product teams to scale analytics.

You will create dashboards using Tableau/Quicksight/Power BI, develop Python utilities, and mentor junior analysts in a fast-paced environment.

Qualifications

• Experience analyzing and interpreting data with Redshift, Oracle, NoSQL, etc.
• 2+ years of data visualization experience with Tableau/Quicksight or similar.
• Experience in data modeling, warehousing and ETL pipelines.
• Experience with statistical packages (R, SAS, Matlab).
• SQL proficiency and Python scripting for data processing.

Responsibilities

• Analyze large multi-dimensional datasets from multiple sources.
• Recommend metrics, techniques, and strategies to improve operational and quality metrics.
• Develop and maintain data visualization dashboards (Tableau/Quicksight/Power BI).
• Deploy machine learning and statistical models.
• Build Python utilities and support ad-hoc queries and analysis.
• Collaborate with researchers, analysts, and product leads to scale data.
• Ensure consistency across data sources for faster issue detection and resolution.
• Explore new AWS technologies to provide capabilities and efficiencies.
• Mentor the analytics team on best practices.

Skills

Large datasets

Data visualization

Python utilities

SQL querying

ML deployment

Collaboration

Analytics best practices

Education

Bachelor's degree or equivalent in related field

Amazon RME experience (BB/3P)

Tools

Tableau

Quicksight

Power BI

Tableau Desktop

Job description

Description

Retail Business Services (RBS) supports Amazon’s Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams.

Our team of high caliber software developers, applied scientists, data engineers, product managers and Business Intelligence Engineers use rigorous ML and deep learning approaches to ensure that we identify & fix the right catalog defect to ensure the good shopping experience for our customers.

We are looking for a customer-obsessed Business Intel Engineer that thrives in a culture of data-driven decision making who will be responsible to help us hold a high bar for RBS Data Engineering Team.

This Individual Will Be Responsible For Driving/creating

• Experience working with large, multi-dimensional datasets from multiple sources
• Make recommendations for new metrics, techniques, and strategies to improve the operational and quality metrics.
• Proficient using at least one data visualization product (Tableau, Qlik, Amazon QuickSight, Power BI, etc.)
• Experience in deployment of Machine Learning and Statistical models
• Building new Python utilities and maintaining existing ones
• Enabling more efficient adhoc queries & analysis
• Working closely with research scientists, business analysts and product leads to scale data
• Ensuring consistency between various platform, operational, and analytic data sources to enable faster and more efficient detection and resolution of issues
• Exploring and learn the latest AWS technologies to provide new capabilities and increase efficiencies
• Mentoring the team on analytics best practices

Basic Qualifications

• 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
• Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt 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 using SQL (Structured Query Language) to pull data from a database or data warehouse
• Experience using Python scripting to process data for modeling

Preferred Qualifications

• Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
• Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc.
• Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
• Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
• Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Company

ADCI - Tamil Nadu - A83

Job ID: A10479746