Business Intelligence Engineer II, Alexa Enterprise Data

ID: 6442

Type: Full-time

Category: Others

Company Name: ADCI - BLR 14 SEZ

Location: IND, KA, Bengaluru

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Job Description

Want to transform the way people experience Alexa on Enterprise? Then come join the team that delivers the global experience on Alexa Enterprise. If you’re passionate about building magical experiences for customers, while solving hard, complex technical problems, then this role is for you. Work with us to deliver industry leading experiences across a growing array of Alexa supported devices and countries, all while being at the forefront of Generative AI and LLM capabilities
The Alexa Enterprise Data org is seeking an experienced Business Intelligence Engineer who is a master of both data insights and relationship-building. Using a special combination of technical and people skills, this candidate will be the key BI liaison between Alexa audio feature owners and other partner teams. Primary areas of focus will be 1) defining metrics and KPIs, and 2) deep-diving ambiguous and large data sets.

A successful candidate will be an expert with SQL, ETL (and general data wrangling) and have exemplary communication skills. The candidate will need to be a self-starter, comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail.

Key job responsibilities
- Interface directly with stakeholders, gathering requirements and owning automated end-to-end reporting solutions.
- Develop complex queries for ad hoc requests and projects, as well as ongoing reporting.
- Design, develop and maintain scalable, automated, user-friendly systems, reports, dashboards, etc. that will support our analytical and business needs
- Design, implement, and support key datasets that provide structured and timely access to actionable business information addressing stakeholder needs.
- Proficiency with SQL queries to retrieve and analyze data. Learn and understand a broad range of Amazon’s data resources and know how, when, and which to use.
- Perform end-to-end deep dive analyses to discover actionable insights for our business stakeholders.
- Simplify and automate reporting, audits, and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
- Apply engineering excellence to reporting and analysis pipelines, automate and simplify self-service support for customers.
- Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.

A day in the life
Centralize the sprint and consolidate to one queue but still give stakeholder visibility and continue to ask feedback;
- Advocate knowledge sharing and code review;
- Avoid single point of failure with a secondary owner as code reviewer, mentor, backup, etc;
- Consolidate across org initiatives to the same primary owner;
- Train everyone on the must-have knowledges;
- Carve out time for high-sev tt, urgent requests, tech debt failure;
- Favor problem statement other than data requests

About the team
The Alexa Enterprise (AE) mission is to extend Alexa's capabilities and services to partners, accelerating Alexa's vision of creating the smartest, most capable and trusted AI personal assistant. We help our partners create value, and deliver a business we love. Our business mission is focused towards the following areas:
1) Distribute Alexa across 3P endpoints such as smart TVs and speaker profitably drive incremental endpoints and new-to-Alexa customer acquisition
2) Bring value to customers in hotels, senior living communities, and healthcare properties
3) Offer branded conversational AI assistants to partners
4) Ensure product certification, quality checks, and developer support to partners
We serve world-class customers across the industry. Our products have been featured in publications such as CNET and Forbes, and Amazon has celebrated our progress in its quarterly earnings highlights. Our vision is for Alexa to become an integral part of our enterprise customers, driving revenue, lowering costs, and improving end user satisfaction. Our team values work-life harmony and a diversity of lifestyles and family schedules

Basic Qualifications

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. 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

Preferred Qualifications

- 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

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 Information

Company Name: ADCI - BLR 14 SEZ

Company Website: https://www.amazon.jobs/en/locations/bengaluru-india

Company Address: Bengaluru, Karnataka 560001 / 560103 / 560066, India

Amazon Development Centre India (commonly abbreviated as ADCI) refers to Amazon.com, Inc.’s network of engineering and technology development centers in India that support the company’s global e-commerce, cloud computing, device, advertising, and media businesses. ADCI is not a standalone public company but the collective name often used in internal and external communications to identify Amazon’s engineering and product-development operations located across multiple Indian cities, including Bengaluru (BLR). The designation “BLR 14 SEZ” is used internally and in job and location listings to identify a specific Bangalore campus or facility housed within a Special Economic Zone (SEZ), where Amazon operates offices that host software engineering, research, and operational teams. Company overview ADCI operates as part of Amazon.com, Inc., one of the world’s largest technology and retail companies. The ADCI centers in India are staffed by software engineers, data scientists, product managers, solutions architects, security specialists, UX designers, operations engineers, and other technical professionals. These centers focus on building, scaling, and operating distributed systems, services, and product features that are integrated into Amazon’s global product portfolio. The India development centers serve both regional needs (India-specific products and localized services) and global development efforts (core components of Amazon Web Services, retail platform features, Alexa, and other infrastructure). Core business activities - Software and product engineering: ADCI teams design, implement, test, and deploy backend services, frontend applications, and full-stack products for Amazon’s retail marketplace, seller and vendor systems, customer-facing applications, and internal business tools. - Cloud and infrastructure development: Engineers in ADCI contribute to Amazon Web Services (AWS) products and supporting infrastructure, working on distributed systems, container orchestration, data storage, networking, security, and platform automation. - Machine learning and data science: ADCI houses data science and machine learning groups that build recommender systems, fraud detection, forecasting and demand-planning models, natural language processing for Alexa and customer service, and analytics platforms used across Amazon. - Consumer device and services support: Development work includes software for Amazon devices (e.g., Kindle, Echo/Alexa) as well as services that integrate with these devices, including voice services, media delivery, and IoT integration. - Payments, advertising, and monetization systems: ADCI contributes to Amazon Pay, advertising technology, catalog and merchandising systems, pricing algorithms, and other monetization-related engineering efforts. - Logistics and operations technology: Teams build software for Amazon’s fulfillment network, warehouse management, routing and delivery systems, robotics integration, and tools for operational efficiency across the supply chain. - Security, privacy, and compliance engineering: Dedicated groups focus on identity and access management, application security, data protection, and compliance with regional regulations. Main products and services ADCI does not produce end-brand consumer products under the ADCI name; rather, its primary output is software, services, and engineering expertise that underpin Amazon’s global offerings. Typical deliverables and contributions from ADCI teams include: - Core services and microservices that power Amazon.com’s marketplace and seller systems (catalog, search, checkout, payments integrations, order management). - AWS platform components, tools, and client-facing services supporting cloud customers globally. - Machine learning models and data platforms used for personalized recommendations, advertising targeting, fraud detection, and predictive analytics. - Features and platform code for Alexa voice services, including speech processing, intent recognition, and integrations with third-party skills and devices. - Enterprise and operations software for logistics, fulfillment centers, inventory forecasting, and last-mile delivery systems. - Developer tools, automation frameworks, and internal platforms used by Amazon teams worldwide to build and operate services at scale. Organizational role and scale ADCI centers in India are strategic engineering hubs within Amazon’s global R&D footprint. They collaborate closely with product teams in other geographies and are often responsible for end-to-end development of specific features or services. The centers serve both India-specific business units (for localized product launches, marketplace features, and regional compliance) and global teams (contributing to AWS, Alexa, and international retail engineering). Staffing levels at India development centers are substantial, with thousands of technical employees across multiple campuses and office complexes in Bangalore and other Indian cities. Collaboration and talent activities ADCI participates in local and global hiring, internship, and university outreach programs, recruiting software engineers, interns, and research talent. The centers commonly host hackathons, technical talks, and collaborations with academic institutions. Amazon’s India engineering teams also engage in open-source contributions, developer tooling, and publishing technical content that reflects their engineering work. Legal and corporate context ADCI operates under Amazon’s corporate entities in India (for example, Amazon Development Centre India Pvt. Ltd and related Amazon entities), and the work performed there is integrated into Amazon.com, Inc.’s product and service lines. Public-facing references to ADCI typically appear on Amazon recruitment pages, regional office location pages, and job postings identifying Bengaluru (BLR) and specific campus codes (such as BLR14 SEZ) as work locations. Limitations ADCI is an operational/organizational label within Amazon rather than an independent corporate brand. Specific internal team responsibilities, proprietary architecture details, and exact campus addresses for individual SEZ facilities are published selectively by Amazon (for example, on careers pages and corporate location pages) and may vary over time as Amazon expands or reorganizes its office footprint.

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