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  1. Home
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  5. Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation
Amazon logo

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

Not Disclosed•Full-TimeOn-site

location_on4330, Dickason Avenue, Dallas, Dallas County, Texas, 75219, United States

Apply Now

About the Role

Are you excited about the cloud computing industry and leveraging data analytics technologies to drive business decisions? We are looking for a technical expert with significant scope and impact who is passionate about bringing large datasets together to answer business questions and drive change.

In this role, you will partner with Sales Operation Leaders, Product Managers, and other business users to understand requirements and implement reporting solutions. You will earn trust and communicate effectively across multiple technical and non-technical business units in a global organization. Your work will involve identifying key business insights, generating the right metrics to define success, and integrating machine learning, generative AI, and automation into our programs. Above all, you will need a keen sense of ownership, collaboration, and a desire to learn as you solve complex problems with simple, scalable solutions.

About the Team

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers, including the public sector. AWS pioneered cloud computing and never stopped innovating, which is 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 empowers 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. We value diverse experiences; even if you do not meet all of the preferred qualifications and skills listed, we encourage you 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.

Career Growth & Work/Life Balance

We're continuously raising our performance bar as we strive to become Earth's Best Employer. You'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional. We value work-life harmony, striving 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.

Hiring Process & Application

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 amazon.jobs for more information.

Compensation & Benefits

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at amazon.jobs .

Work location

Work model: On-site

location_on

4330, Dickason Avenue, Dallas, Dallas County, Texas, 75219, United States

Dallas, Texas

Key Responsibilities

  • check_circleWrite high quality SQL queries to retrieve and analyze data from database tables
  • check_circleBuild data models leveraging Python to support business analysis
  • check_circlePartner with business owners to integrate machine learning and automation into processes
  • check_circleDrive business decisions by applying analytical and statistical rigor to solve complex problems
  • check_circleProject-manage multiple workflows and communicate complex analytical results
  • check_circleWork with key business stakeholders to understand requirements and shape analytical deliverables
  • check_circleMaintain large data sets and build datasets needed for analyzing information

Requirements

  • verified5+ years of SQL, ETL or Oracle experience
  • verified5+ years of performing statistical analysis experience
  • verified1+ years of developing automated reporting experience
  • verifiedExperience programming to extract, transform and clean large (multi-TB) data sets
  • verifiedExperience with theory and practice of information retrieval, data science, machine learning and data mining
  • verifiedMaster's degree in statistics, data science, or an equivalent quantitative field
  • verifiedExperience in scripting for automation (e.g. Python) and advanced SQL skills

Nice to Have

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

Benefits & Perks

check_circleHealth insurance including medical, dental, vision, prescription, Basic Life & AD&D, and supplemental life planscheck_circleEmployee Assistance Program (EAP), Mental Health Support, and Medical Advice Linecheck_circleFlexible Spending Accountscheck_circleAdoption and Surrogacy Reimbursement coverage401(k) matching
Amazon logo
Company

Amazon

Industry

it

View company profilearrow_forwardlanguageWebsite
Quick Overview

Experience

5+ yrs (Senior)

Education

Master's degree in statistics, data science, or equivalent quantitative field

Job Type

Full-Time

Skills Required

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Skills: SQL, Etl, Oracle, Statistical Analysis, Automated Reporting, Data Science, Machine Learning, Data Mining, Python, Redshift.

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Frequently asked questions about Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation at Amazon

What does a Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation at Amazon do?expand_more
Day-to-day, the Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation at Amazon will write high quality sql queries to retrieve and analyze data from database tables; build data models leveraging python to support business analysis; partner with business owners to integrate machine learning and automation into processes; and drive business decisions by applying analytical and statistical rigor to solve complex problems.
What are the requirements for this Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation role?expand_more
Amazon is looking for candidates who meet the following requirements: 5+ years of SQL, ETL or Oracle experience; 5+ years of performing statistical analysis experience; 1+ years of developing automated reporting experience; Experience programming to extract, transform and clean large (multi-TB) data sets; Experience with theory and practice of information retrieval, data science, machine learning and data mining; and Master's degree in statistics, data science, or an equivalent quantitative field.
Where is the Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation role at Amazon located?expand_more
Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation at Amazon is based in 4330, Dickason Avenue, Dallas, Dallas County, Texas, 75219, United States. This is a on-site role.
Is this Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation job remote, hybrid, or on-site?expand_more
Amazon has listed this Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation role as on-site.
How much experience is required for this Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation role?expand_more
Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation at Amazon typically requires 5+ years of relevant experience at the senior level.
What skills do you need for the Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation role at Amazon?expand_more
Key skills for Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation at Amazon include SQL; Etl; Oracle; Statistical Analysis; Automated Reporting; Data Science; Machine Learning; and Data Mining.
What education is required for Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation at Amazon?expand_more
Educational requirements for this role: Master's degree in statistics, data science, or equivalent quantitative field.
What category does the Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation role belong to?expand_more
Senior Business Intelligence Engineer, SMGS Ops - Sales Planning & Compensation at Amazon is part of the it job category on Recrutus.
Recrutus

Curating the world's most innovative career opportunities. We bridge the gap between visionary talent and industry-leading companies.

Search roles by city, category, skill, or job type — explore verified US employers, salary benchmarks, and remote-friendly teams hiring nationwide.

publiclanguageshare
Job seekers
Browse jobsCompanies hiringRemote jobsJobs by locationJobs by cityJobs by categoryJobs by skillCareer guidesCareer blogSalary insights
Job types
Contractor jobsFull-Time jobsIntern jobsOther jobsPart-Time jobsPer-Diem jobsTemporary jobsVolunteer jobs
Top states
Jobs in TexasJobs in CaliforniaJobs in New YorkJobs in FloridaJobs in North CarolinaJobs in VirginiaAll states →
Top categories
Healthcare & Nursing jobsLogistics & Warehouse jobsEngineering jobsIT jobsSales jobsHospitality & Catering jobsAccounting & Finance jobs
Popular skills
CDL A jobsExcel jobsEnglish jobsMicrosoft Office jobs
Featured employers
Company
About usFAQContactPrivacy policy

Recrutus helps candidates discover roles that match their skills and helps teams reach qualified applicants faster. Browse by metro, discipline, or work style — from internships to senior leadership.

© 2026 Recrutus. All rights reserved.
Terms of serviceCookie policyAcceptable useDMCA policyEmployer termsCandidate terms
check_circle
check_circlePaid time off
check_circleParental leave
check_circleSign-on payments and restricted stock units (RSUs)
SQL
Etl
Oracle
Statistical Analysis
Automated Reporting
Data Science
Machine Learning
Data Mining
Python
Redshift
US privacy notice
Accessibility