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Description

Amazon is one of the world’s largest and most customer-centric companies, continuously innovating to make customers’ lives easier. We are seeking a Senior Business Intelligence Engineer to join our dynamic team, driving data-driven decision-making and fostering innovation at scale. Do you want a unique, exciting opportunity to help build something from the ground up? We are looking for builders who thrive in ambiguity to join the BI team of a tech organization under Product and Planning Organization.

As a Senior Business Intelligence Engineer at Amazon, you will play a pivotal role in leveraging data to drive insights and support strategic decision-making across the organization. You will be responsible for designing and developing scalable data models, performing statistical analysis, and delivering actionable insights through effective storytelling.

This role is ideal for someone who demonstrates the Learn and Be Curious leadership principle — proactively exploring new technologies and analytical techniques to push the boundaries of what’s possible. You will partner closely with Science teams to co-develop agentic frameworks and intelligent assistants that transform how users interact with labor planning data, enabling faster, smarter decision-making across multiple business lines.

The ideal candidate will have a passion for automation and clean, streamlined process design. You will work with analytic tools, write excellent scripts, partner with customers to answer key business questions, and act as an advocate for your customers. Successful members of this team collaborate effectively with internal end-users, cross-functional software development teams, and technical support/sustaining engineering teams to solve problems, implement new solutions, and deliver successfully against high operational standards of system availability and reliability. We look for candidates who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun.

Key job responsibilities

Expertise in SQL for data modeling, and architecture design. Industry experience of 7+ is required.

Proficiency in Python for data wrangling, EDA, and model evaluation. Industry experience of 5+ years is preferred.

Industry experience in building and evaluating regression, forecasting, and classification models is highly preferred.

Perform advanced statistical analysis to uncover trends, patterns, and actionable insights from large datasets. Knowledge of clustering techniques is preferred.

Create compelling data visualizations and dashboards to communicate insights effectively. Knowledge of AWS products such as Redshift, QuickSight, or similar experience with other cloud tech stack.

Collaborate with product, engineering, and business teams to translate ambiguous problems into tech requirements and build data-driven solutions.

Excellent verbal/written communication & data presentation skills, including ability to succinctly summarize key findings and effectively communicate with both business and technical teams.

About the team

UTR BI team manages workforce planning products for specialty fulfillment centers across North America and EU region. The team builds products to hire the right number of associates with the right skills at the right location.

SLBI members partner with the product, engineering, and science teams to convert business requirements into tech solutions. We enable stakeholders through automated reporting, self-service dashboards, and/or company-wide tools/metrics. We are responsible for improving the data architecture and processes to reduce time spent on fighting ad-hoc fires. We also support business as usual needs, such as, weekly reviews, escalations, and ad-hoc requests.

Basic Qualifications

- 10+ years of professional or military experience

- 5+ years of SQL experience

- Experience programming to extract, transform and clean large (multi-TB) data sets

- Experience with theory and practice of design of experiments and statistical analysis of results

- Experience with AWS technologies

- Experience in scripting for automation (e.g. Python) and advanced SQL skills.

- Experience with theory and practice of information retrieval, data science, machine learning and data mining

Preferred Qualifications

- Experience working directly with business stakeholders to translate between data and business needs

- Experience managing, analyzing and communicating results to senior leadership

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $117,300/year in our lowest geographic market up to $202,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.