Sr. Business Intelligence Engineer, AWS
Amazon.com - Seattle, WA
posted 16 days ago
About the position
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 public sector. The AWS Global Services team interacts with leading companies and believes that world-class support is critical to customer success. Additionally we partner with a global list of customers that are building mission-critical applications on top of AWS services. Would you like join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? Enterprise Support is hiring! You recognize and adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. You write high quality code to retrieve and analyze data as well as analyze and solve business problems at their root, stepping back to understand the broader context. Developing pragmatic analyses and choosing applicable solutions that add value to your business area, you understand data resources and know how, when, and which to use (and which not to use). By recognizing and using advanced analytical techniques to solve business problems, you develop analyses (whether fully formed or exploratory) for the business' sake, not for analyses' sake. You seek to understand the business objectives relevant to your area and align your work to those objectives and seek to deliver business value. You will own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. within SQL, Redshift, Quicksights, etc. You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale as we expand. You will empower data-driven decision making through implementing principles of data mining, data modeling, and analytical skills to define and measure critical metrics. You will need to have a high bar for ownership and work autonomously to create high-quality products for the customer. You will be required to communicate project roadmap, prioritization, and release notes of new products with customer and stakeholder groups up to senior leadership. In addition, you will serve as team lead providing mentorship, review of product development and direction on ad-hoc leadership requests with more junior members.
Responsibilities
- Lead the design, implementation, and delivery of BI solutions for complex and ambiguous problems
- Conduct deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership
- Identify opportunities and key criteria to drive analytical reporting and business strategy
- Produce written recommendations and insights for key stakeholders that will help shape effective metric development and reporting
- Simplify and automate reporting, audits and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
- Partner with our Data Engineering team to enhance data infrastructure, data availability, and broad access to customer insights
- Develop and drive best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
- Learn new technology and techniques to meaningfully support product and process innovation
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
Requirements
- 5+ years of SQL experience
- Experience building measures and metrics, and developing reporting solutions
- Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
Nice-to-haves
- Master's degree in statistics, data science, or an equivalent quantitative field
- 7+ years of SQL experience
- Experience in scripting for automation (e.g. Python) and advanced SQL skills
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Knowledge of data warehousing and data modeling
Benefits
- Flexible work hours and arrangements
- Endless knowledge-sharing, mentorship and other career-advancing resources
- Comprehensive medical, financial, and/or other benefits
