[Remote] Sr Business Intelligence Engineer, AWS GDSP A&I
Note: The job is a remote job and is open to candidates in USA. Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform, and they are seeking a Senior Business Intelligence Engineer. This role focuses on Business Analytics and Business Intelligence related to Private Pricing Deals, requiring broad technical skills and strong business acumen to provide performance reporting, actionable insights, and decision support.
Responsibilities
- Lead sales executive discussions to share insights, challenge status quo, and provide forward-looking recommendations that enable strategic decision-making and accelerate Private Pricing growth
- Design and maintain continuously-evolving business analytics frameworks and data models; own quantitative analysis of sales team performance, customer behavior, deal dynamics, partner ecosystems, market trends, and product effectiveness
- Develop deep expertise in sales metrics, reporting tools, and data architectures to proactively identify and resolve data quality issues, deliver actionable intelligence, and design new metrics, dashboards, and analytical tools
- Build collaborative relationships with sales, finance, sales operations, and cross-functional teams to identify reporting gaps and implement solutions
- Design and deploy automated analytical tools and reports that streamline business reviews, annual planning, and forecasting processes
- Create operational templates and standardized processes that consolidate disparate data sources into unified reporting frameworks and consistent metrics tracking
- Execute complex ad-hoc analyses by extracting and synthesizing data from multiple management systems, delivering timely recommendations with measurable business impact
- Architect new mechanisms and business processes that simplify operations, standardize workflows, and drive operational excellence across the organization
Skills
- 10+ years of professional or military experience
- 5+ years of SQL, ETL or Oracle 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 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
- 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- 5+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience in Statistical Analysis packages such as R, SAS and Matlab
- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Experience leading process improvements
- Experience managing competing priorities across a wide range of stakeholders
- Experience with iterative, agile development methodologies (including scrum)
- 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
Benefits
- Sign-on payments
- Restricted stock units (RSUs)
- 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
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