Description

Amazon's Reliability, Maintenance & Engineering (RME) team ensures that our global fulfillment and operations networks run safely, efficiently, and at peak performance. We are hiring a Business Intelligence Engineer (BIE) to join the INRME Central team as the go-to source of business intelligence for Operations. You will analyze operational data, identify trends, and deliver actionable insights that drive decision-making. This role requires a bias for action, you will move quickly to translate complex data into clear recommendations that enable our teams to work smarter and deliver results. Strong analytical skills, attention to detail, and the ability to influence stakeholders through data-driven narratives are essential for success in this role. You will engage regularly with senior leaders and Mile Partners to generate insights and deep dives into core metrics that directly impact organizational strategic decisions and priorities. The role requires high proficiency in complex SQL scripting, often joining together multiple types of data sets that range from normalized summaries to raw information spanning many diverse sources. You will own your work end-to-end, operate autonomously to create high-quality products for the customer, and communicate project roadmaps, prioritization, and release notes of new products with customers and stakeholder groups including leadership.

Key job responsibilities

Partner with data business leaders and program stakeholders to ensure key decision data is accurate, automated, and delivered in a timely fashion
Collect, analyze, and manage quantitative business data to create meaningful reports, drive metrics discussions, and recommend improvements
Lead the development of weekly, monthly, and quarterly metrics alongside operational planning, forecasting, and reporting models that enable stakeholders to make effective decisions
Manage competing priorities while providing level-headed guidance on business metrics, even during unexpected events
Produce regular reports and analysis using data mining and analytical tools to identify trends, develop forecasts, and uncover improvement opportunities
Conduct root cause analysis to identify underlying process, operational, or data-related issues, implement improvements, and establish new measures that advance data-driven decision-making across the organization
Develop and implement KPIs, automated reporting solutions, and process improvements that meet business needs
Manage and execute data related project components from start to finish including data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendation

Basic Qualifications

Bachelor's degree in Statistics, Computer Science, Computer Engineering, Information Management/Systems, Business Analytics or other related discipline
Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc.
Experience with data visualization using Tableau, Quicksight, or similar tools
Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries)

Preferred Qualifications

Master's degree in Statistics, Computer Science, Computer Engineering, Information Management/Systems, Business Analytics or other related discipline
3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
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 - ATSPL - Haryana

Job ID: A10426395

Business Intelligence Engineer, INRME