Sr. Business Intelligence Engineer, LeeP & VMP

Amazon; San Francisco (CA); On-site; USD 117,000 - 203,000; Full time

Job summary

An established industry player is seeking a Sr. Business Intelligence Engineer to lead strategic initiatives within their innovative VMP program. This role involves collaborating with product, tech, and finance teams to drive data strategies that enhance customer value and operational efficiency. The ideal candidate will possess strong analytical skills and experience in machine learning, AWS technologies, and data visualization tools. Join a dynamic team that values data-driven decision-making and empowers you to influence business outcomes through insightful analytics. This position offers a unique opportunity to shape the future of product offerings and customer engagement.

Benefits

Medical Insurance

Equity Options

Sign-on Bonuses

Flexible Work Hours

Employee Discounts

Retirement Plans

Work from Home Options

Professional Development

Paid Time Off

Wellness Programs

Qualifications

• 5+ years of SQL experience with large data sets.
• Strong background in statistics and data science.

Responsibilities

• Lead data strategy for the VMP program to drive growth and savings.
• Build and maintain reporting mechanisms for over 300 users.

Skills

SQL

Data Transformation

Statistical Analysis

Machine Learning

Data Mining

Communication Skills

Automation Scripting (Python)

Education

Bachelor's Degree in Statistics

Graduate Degree in Math/Statistics or Computer Science

Tools

AWS

Redshift

AWS Glue

Quicksight

Tableau

Job description

Sr. Business Intelligence Engineer, LeeP & VMP

Job ID: 2951223 | Amazon.com Services LLC

At Amazon.com we are working to be the most customer-centric company on earth. To get there, we need exceptionally talented, bright, and driven people. Amazon's Consumables Virtual Multi-Pack (VMP) program is looking for a business intelligence leader to drive strategic operational & technical initiatives. VMP takes an existing, single-pack product, and creates a new multi-pack ASIN that can be merchandized individually and variated to the already existing single-pack offer. Customers benefit from simple access to a variety of pack sizes that present improved value while Amazon can benefit from shipping consolidation lowering our cost to serve customers.

The Business Intelligence Engineer (BIE) is an innovative, results driven professional that executes continuous improvement through data-driven actions. The individual must exercise strong judgment and autonomy in the identification and execution of strategic improvement plans built on Business, Science, Technology, and Operations partnerships. This role will impact and inform how Amazon executes its VMP strategy across its Everyday Essentials business. The individual should possess a track record of successful relationship management, strong business and analytical acumen, and experience working with technology and engineering teams. Great communication skills, ability to think big and influence across Amazon teams and high ownership to deliver successful results will be essential.

Key job responsibilities

1. Engage across product, tech, and finance teams to lead the data strategy powering growth and savings for the VMP program.
2. Collaborate with science teams to build out pack size prediction models leveraging ML and Amazon's wide array of catalog + sales data.
3. Work with tech to design data structures that can scale to support reporting needs and analysis of a rapidly expanding program growing over 100% YoY.
4. Perform deep dives to help make business recommendations that guide the product strategy and long-term vision.
5. Build, own, and maintain WBR and reporting mechanisms used by 300+ users across Amazon.
6. Support WW expansion to new marketplaces.
7. Holistically architect an end-to-end BI landscape that activates reporting, analysis & insights for the VMP program that includes building and harvesting datasets, data pipelines, ETL, application of custom logic, data visualization & storytelling to drive the business forward.
8. Improve auditing tools to understand relevant inputs and identify gaps in technology systems to support creation of new capabilities to drive business operating leverage.
9. Build insights-oriented visualization tools in Quicksight or Tableau to enhance existing ways of work for product managers, program managers, finance partners, and stakeholder partner teams.
10. Challenge existing process and work streams with data-driven insights that offer alternatives that are cost neutral, or favorable, but drive much more scalable execution.
11. Partner across the Everyday Essentials tech teams as well as the central Data Engineering team to create an intelligence roadmap that addresses core areas for automation, scale, and business financial productivity.
12. Scale roadmap and solutions across categories by ensuring cross-company impact is measured and supported by stakeholder businesses.
13. Understand the value chain within the broader Amazon.com site experience to inform new insights on customer engagement.
14. Develop a knowledge repository for VMP data intelligence as part of an evolving center of excellence that can be referred to outside of the VMP business.

BASIC QUALIFICATIONS

• 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
• Strong working knowledge of AWS cloud, Redshift, AWS Andes, Glue
• Background (academic or professional) in statistics, programming, and marketing

PREFERRED QUALIFICATIONS

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Graduate degree in math/statistics, computer science or related field is highly desirable.
• Excellent communication skills, equally adept at working with engineers as well as business leaders

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 here for more information.

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 here.