Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Policy

Amazon • Arlington, VA

2d • Onsite

About The Position

We are looking for a Senior Business Intelligence Engineer with a solid BI engineering background, familiar with maintaining large data sets, building the datasets needed for analyzing information, identifying key business insights, and working with stakeholders in generating the right metrics to define and measure success. In this role, you will be a technical expert with significant scope and impact. You will work with Sales Operation Leaders, Product Managers and other business users to understand the business requirements and implement reporting solutions. The individual must have the ability to earn trust and communicate effectively across multiple technical and non-technical business units in a global organization. Candidates should possess a keen sense of ownership, collaboration, and desire to learn. Above all the candidate should be passionate about bringing large datasets together to answer business questions and drive change.

Requirements

• 10+ years of professional or military experience
• 5+ years of SQL experience
• 5+ years of SQL, ETL or Oracle experience
• 5+ years of processing large, multi-dimensional datasets from multiple sources experience
• 5+ years of performing statistical analysis experience

Nice To Haves

• Experience working directly with business stakeholders to translate between data and business needs
• Experience managing, analyzing and communicating results to senior leadership
• Master's degree in statistics, data science, or an equivalent quantitative field
• Experience with theory and practice of information retrieval, data science, machine learning and data mining
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with theory and practice of design of experiments and statistical analysis of results
• 1+ years of developing automated reporting experience

Responsibilities

• Work directly with the models/data. Work with large data sets and the technical tools needed to work with them
• Manage complex, manual, revenue routing processes to ensure revenue is reported accurately
• Write high quality SQL queries to retrieve and analyze data from database tables (ex. Redshift, MySQL). Build data models leveraging Python.
• Work cross-functionally with billing to ensure revenue is flowing to the right customer accounts
• Partner with business owners, tech and central teams to integrate machine-learning, generative AI, and automation into scaling our programs and processes
• Use analytical and statistical rigor to solve complex problems and drive business decisions
• Drive towards simple, scalable solutions to difficult problems
• Project-manage multiple workflows and communicate complex analytical results, both written and verbally
• Work with key business stakeholders to understand requirements and shape analytical deliverables
• Think strategically about business, product, and technical challenges, with the ability to work cross-organizationally

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave
• sign-on payments
• restricted stock units (RSUs)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior