Business Intelligence Engineer, JWO, JWO Tech

ID: 5597

Type: Full-time

Category: Others

Company Name: Amazon Dev Center India - Hyderabad

Location: IND, TS, Hyderabad

Visit company vacancy

Job Description

As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use.

We’re trying to optimize shopping experience for Amazon’s Customers in the Physical retail space. This role will be a key member of the core Analytics team located in Hyderabad. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must.

Key job responsibilities
· Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation
· Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations.
· Develop metrics that helps support product category growth and expansion plans

Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

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 using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience in Statistical Analysis packages such as R, SAS and Matlab

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: Amazon Dev Center India - Hyderabad

Company Website: https://www.amazon.jobs/en/locations/hyderabad

Company Address: IND, TS, Hyderabad

Amazon Dev Center India - Hyderabad is the Hyderabad engineering and technology campus of Amazon’s India development organization, established to provide product development, research, and operational engineering services for Amazon’s global businesses. Operated under Amazon’s India development footprint, the Hyderabad center hosts software engineering, data science, machine learning, infrastructure, and systems teams that design, build, test, and maintain core features and services used across Amazon’s consumer-facing products and cloud offerings. The center functions as a multidisciplinary engineering hub contributing to a broad set of technology domains including e‑commerce platform services, cloud computing (AWS), artificial intelligence and machine learning, voice services (Alexa), digital media (Prime Video and Kindle), payments and advertising technologies, and logistics and supply‑chain systems. Company overview and role within Amazon: The Hyderabad development center is part of Amazon’s global network of product and technology centers. It serves as a regional engineering headquarters that supports both India‑specific programs and global product teams. Teams located at the Hyderabad site collaborate with product owners, designers, and engineering teams across Amazon to deliver software products, cloud services, and infrastructure components. The facility is organized to support full lifecycle product development: ideation, prototyping, engineering, quality assurance, deployment, and ongoing operations and support. Core business activities: The primary workstreams at the development center are software development and research & development for Amazon’s products and services. Core activities include designing and implementing backend services and APIs, building and scaling distributed systems, developing frontend and mobile experiences, architecting and operating cloud infrastructure, and developing machine learning models and data pipelines to support personalization, recommendations, search relevance, fraud prevention, demand forecasting, and automation. In addition, teams at the Hyderabad center undertake systems engineering, site reliability engineering (SRE), security engineering, and performance engineering to ensure high‑availability and secure operation of Amazon services. The center also runs engineering programs for localization and regionalization of Amazon products to meet market‑specific requirements and regulatory needs. Main products and services developed or supported: While the Hyderabad campus is not a standalone commercial company producing independent consumer products, it contributes engineering work to a wide array of Amazon’s product lines. Typical areas of contribution include: - E‑commerce and retail platform components that power the Amazon storefront, catalog management, seller services, pricing, and order processing workflows. - Amazon Web Services (AWS) features and infrastructure components, where engineers contribute to cloud computing services, storage, networking, and tooling used internally and by AWS customers. - Alexa and voice services, including natural language understanding, speech recognition, and localized voice experiences tailored for regional markets. - Prime Video and digital media tooling, including backend systems for content delivery, metadata management, personalization, and analytics. - Payments and Amazon Pay systems, including fraud detection, transaction processing, and integrations with local financial partners. - Advertising technologies for Amazon Ads, covering ad serving, auction systems, targeting, measurement, and analytics. - Logistics, supply‑chain, and operations technologies that support fulfillment center automation, routing, capacity planning, and last‑mile delivery optimizations. Organizational aspects and talent: The Hyderabad center recruits across a wide range of engineering and technical roles including software development engineers (SDEs) at multiple levels, data scientists, applied scientists, machine learning engineers, quality assurance and test engineers, product managers, UX designers, and technical program managers. The site also hosts internship and early‑career programs designed to attract university talent and provide project‑based learning opportunities. Recruitment and career information for roles at the Hyderabad location are published and managed through Amazon’s global careers portal, where job descriptions outline responsibilities, required technical skills, and team focus areas. Technology and engineering practices: Engineering teams at the Hyderabad center follow Amazon’s established software development and operational practices, including microservices architecture, continuous integration and continuous delivery (CI/CD), automated testing, distributed tracing and monitoring, and data‑driven product decision making. Teams employ a variety of programming languages and technologies according to product needs (common stacks include Java, Python, JavaScript/TypeScript, and others), and leverage AWS infrastructure extensively for development and production deployments. Applied research groups focus on areas such as recommendation algorithms, search ranking, personalization models, natural language processing, and computer vision where applicable. Collaboration and global impact: The Hyderabad engineering campus works in close coordination with other Amazon development centers and business units worldwide. Teams frequently collaborate with counterparts in North America, Europe, and other parts of India to deliver global feature rollouts, integrate cross‑region services, and share engineering best practices. Contributions from the Hyderabad center are integrated into Amazon’s global product ecosystem, so software and services developed or matured there are often deployed at scale to serve millions of customers and sellers. Customer focus and compliance: Engineering work at the Hyderabad center is aligned to meet customer requirements for performance, reliability, privacy, and regulatory compliance. Regional engineering efforts include tailoring services for local market conditions and ensuring that products comply with applicable laws and regulations. As with other Amazon development sites, security, data protection, and operational excellence are core components of the engineering lifecycle. Public-facing presence and recruiting: Amazon advertises Hyderabad roles, office locations, and team descriptions through its official careers website and related recruiting pages. The Hyderabad development center hosts events, hackathons, and technical outreach programs to engage with local technical communities and academic institutions. For role-specific information, team descriptions, and open positions at this location, Amazon publishes details on its careers portal.

Visit company vacancy