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Business Intelligence Engineer, Amazon Selection and Catalog Systems (ASCS)

Amazon

Business Intelligence Engineer, Amazon Selection and Catalog Systems (ASCS)

Amazon

Bengaluru, KA, IND

·

On-site

·

Full-time

·

2mo ago

Benefits & Perks

Competitive salary and equity package

Comprehensive health, dental, and vision insurance

Parental leave

Professional development budget

Team events and activities

Equity

Healthcare

Parental Leave

Learning

Required Skills

Python

JavaScript

Node.js

About the Role

Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the comprehensive e-commerce product catalog. We power the online shopping experience for customers worldwide, enabling them to find, discover, and purchase anything they desire. Our scaled, distributed systems process hundreds of millions of updates across billions of products, including physical, digital, and service offerings.

You will be part of Catalog Support Programs (CSP) team under Catalog Support Operations (CSO) in ASCS Org. CSP provides program management, technical support, and strategic initiatives to enhance the customer experience, owning the implementation of business logic and configurations for ASCS. We are establishing a new centralized Business Intelligence team to build self-service analytical products for ASCS that provide relevant insights and data deep dives across the business. By leveraging advanced analytics and AI/ML, we will transform catalog data into predictive insights, helping prevent customer issues before they arise. Real-time intelligence will support proactive decision-making, enabling faster, data-driven decisions across the organization and driving long-term growth and an enhanced customer experience.

We are looking for an innovative, highly-motivated, and experienced Business Intelligence Engineer who can think holistically about problems to understand how systems work together. You will work closely with engineering teams, product managers, program managers, and organizational leaders to deliver end-to-end data solutions aimed at continuously enhancing overall ASCS business performance and delivery quality.

Responsibilities

As a Senior BIE, you will:

  • Lead the data and reporting requirements for ASCS programs and projects
  • Engage closely with senior leaders to generate insights and conduct deep dives into key metrics that directly influence organizational strategic decisions and priorities
  • Demonstrate high proficiency in complex SQL scripting, often combining various data sets from diverse sources
  • Own the design, development, and maintenance of ongoing metrics, reports, dashboards, etc. to drive key business decisions
  • Simplify and automate reporting, audits, and other data-driven activities
  • Develop and drive best practices in data integrity, consistency, validations, and documentation
  • Serve as a technical and analytical leader for the team, providing guidance and expertise to others on complex business and data challenges
  • Consistently deliver high-quality, timely results that demonstrate deep subject matter expertise
  • Lead the design, implementation, and delivery of BI solutions for ASCS
  • Manage and execute end-to-end projects, including stakeholder management, data gathering/manipulation, modeling, problem-solving, and communication of insights
  • Design, build, and maintain automated reporting, dashboards, and ongoing analysis to enable data-driven decisions
  • Work closely with internal stakeholders to define key performance indicators (KPIs), implement them into dashboards and reports, and present insights in a concise and effective manner
  • Collaborate with business and tech leaders within ASCS and cross-functional teams to solve problems, create operational efficiencies, and deliver against high organizational standards
  • Apply a breadth of tools, data sources, and analytical techniques to answer a wide range of high-impact business questions
  • Proactively uncover new insights that drive decision-making by senior leadership
  • Structure ambiguous problems and design analytics across various disciplines, resulting in actionable recommendations ranging from strategic planning, product strategy/launches, and engineering improvements
  • Be instrumental in the creation of a reliable and scalable infrastructure for ongoing reporting and analytics
  • Continually raise the bar on both quality and performance
  • Bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives

Required Skills and Qualifications

This role requires an individual with:

  • Excellent analytical abilities
  • Deep knowledge of business intelligence solutions
  • Business acumen and the ability to work with various tech and product teams across ASCS
  • Excellent business and communication skills to work with business owners to define roadmaps, develop milestones, define key business questions, and build data sets that answer those questions
  • Hands-on SQL and scripting language experience
  • Ability to excel in designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data warehouse and into end-user facing applications

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About Amazon

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

Employees

Seattle

Headquarters

Reviews

2.9

10 reviews

Work Life Balance

2.8

Compensation

3.7

Culture

2.5

Career

2.3

Management

2.1

35%

Recommend to a Friend

Pros

Good pay and compensation

Strong benefits package

Flexible scheduling options

Cons

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

Salary Ranges

2 data points

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0 reports

$108,330

total / year

Base

$43,332

Stock

$54,165

Bonus

$10,833

$75,831

$140,829

Interview Experience

10 interviews

Difficulty

3.7

/ 5

Duration

21-35 weeks

Offer Rate

20%

Experience

Positive 10%

Neutral 10%

Negative 80%

Interview Process

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge