Senior Business Intelligence Engineer , Data Center Capacity Delivery (AMER)

Amazon • Herndon, VA

1d • Onsite

About The Position

We are seeking a Business Intelligence Engineer professional who can operate with a startup mentality while partnering with managers and business leaders to deliver sound, data-backed recommendations and insights, identify areas of improvement and suggest and implement solutions. The ideal candidate will be highly analytical, excited about data mining and generate insights that will influence the direction the organization. You will be curious and comfortable digging deep into data and developing core metrics to identify areas of improvement and partner with the business to find effective solutions. You will develop new ways to measure and track our performance, and improve the customer experience by building robust technical and analytical solutions to help us better understand customer needs. You will empower data driven decision making through implementing principles of data mining, data modelling, and analytical skills to define and measure metrics for evaluating health of the business. You will be able to extract, integrate and work on critical data to build out data pipelines, automate reports and dashboards to communicate your findings and leverage self-service tools to internal stakeholders.

Requirements

• 10+ years of professional or military experience
• 5+ years of SQL experience
• 4+ years of processing large, multi-dimensional datasets from multiple sources experience
• 4+ years of developing automated reporting experience
• Experience programming to extract, transform and clean large (multi-TB) data sets

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

Responsibilities

• Design, develop, implement, test, document, and operate large-scale, high-volume, high-performance data structures for business intelligence analytics.
• Implementing data structures using best practices in data modeling to provide on-line reporting and analysis using business intelligence tools and a logical abstraction layer against large, multi-dimensional datasets and multiple sources.
• Gathering business and functional requirements and translating the gathered requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Analyzing source data systems and driving best practices in source teams.
• Analyzing large amounts of data, discovering and solving real world problems, and building metrics and business cases to help business teams to make decisions.
• Participating in the full development life cycle, end-to-end, from design, implementation and testing, to documentation, delivery, support, and maintenance to produce comprehensive, usable dataset documentation and metadata.
• Evaluating and making decisions around dataset implementations designed and proposed by peer data engineers. Identifying business process improvements from the data level.
• Analyzing and evaluating business process, and through data driven insights proposing and implementing business process improvement.

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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed