BIE I , FCGT

Amazon.com; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Amazon's Fulfillment Channels BI team is seeking a talented BI engineer to lead analytics for the India Self Ship business. You will design complex data models, join large datasets, and build end-user facing reports that drive decisions for seller and delivery experiences.

You will work with data engineers and analysts to translate findings into strategic actions for product and program leadership, leveraging SQL across Athena/Presto and BI tools to deliver insights at scale.

Qualifications

• 2+ years analyzing data with Redshift/Oracle/NoSQL.
• Experience with data visualization tools Tableau or QuickSight.
• Experience with multiple analytics tools (Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and stats methods.

Responsibilities

• Create and manage datasets; build scalable data pipelines from production systems to end-user reports.
• Own complex analytics from data to insights for leadership.
• Translate data findings into actionable recommendations for product and program teams.

Skills

Data analysis

SQL proficiency

Stakeholder communication

Problem solving

Education

Bachelor's degree

Master's degree

Tools

Tableau

Quicksight

Excel

MicroStrategy

Power BI

Python

Java

R

Job description

Amazon's Fulfillment Channels BI team is seeking a talented, self-driven and experienced Business Intelligence Engineer to lead its advanced analytics wing for the India Self Ship business. This pivotal role gives you the opportunity to work with an exceptionally innovative team, slice and dice multi-dimensional, high-depth data mines, and build complex data models that drive data-driven insights for high-impact decisions spanning seller experience, customer delivery experience, and Self Ship Product/Program initiatives.

Are you customer obsessed, flexible, smart and analytical, strategic yet execution-focused, and passionate about e-commerce logistics? Are you an experienced, entrepreneurial leader with a strong work ethic? If yes, this opportunity will appeal to you.

To be successful in this role, you will roll up your sleeves, innovate, and quickly become a subject matter expert on Self Ship performance across sellers, carriers, and market segments in India. You will be a self-starter, comfortable with ambiguity and large data sets spanning orders, shipments, GMS, C2P (Click to Pick), C2D (Click to Delivery), and delivery experience (DEA) metrics. You will be part of the Central Analytics team, working closely with Stakeholders, Data Engineers, Business Intelligence Engineers, and Business Analysts to drive the Self Ship charter forward. Strong communication skills are essential, as you will translate data-driven findings into actionable insights for Product and Program leadership.

You will have demonstrated proficiency in SQL across a variety of databases (e.g., Athena/Presto), BI tools, and R or Python to analyze large data sets.

Key job responsibilities

• Passionate about working with huge data sets and be someone who loves to bring datasets together to answer business questions. You should have deep expertise in creation and management of datasets and exposure at implementing and operating stable, scalable data flow solutions from production systems into end-user facing applications/reports. These solutions will be fault tolerant, self-healing and adaptive.
• Detail-oriented and must have an aptitude for solving unstructured problems. You should work in a self-directed environment, own tasks and drive them to completion.
• Excellent business and communication skills to be able to work with business owners to develop and define key business questions and to build data sets that answer those questions.

Basic Qualifications

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)
• Experience with scripting language (e.g., Python, Java, or R)
• Bachelor's degree

Preferred Qualifications

• Master's degree, or Advanced technical degree
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis, co-relation analysis

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Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Veterans, military spouses, and people with disabilities are encouraged to apply.