Sr. BIE, AWS Partner Organization

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Job summary

This position may be based out of multiple locations, including but not limited to: Seattle, WA; Portland, OR; San Francisco, CA; Dallas, TX; Houston, TX; Austin, TX; Chicago, IL; New York, NY; Boston, MA; Detroit, MI; Arlington, VA.

Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Millions of businesses in 150+ countries, from start-ups to Fortune 500 enterprises, across all industries including public sector, run their operations and applications on AWS. Many of these customers seek help from AWS Partners in their transition to a cloud-based IT operating model.

The Partner Insights & Optimization team owns the central business intelligence and analytics function for the AWS Partner Organization. We are a team of builders that enable self-service reporting capability across partner programs, analyze and optimize partner investments, and drive adoption of scalable and automated mechanisms.

As a Business Intelligence Engineer on this team, you will apply programming, SQL, and visualization skills to develop scalable BI solutions. Your deliverables will help accelerate the business with data-driven analyses, metrics, and insight

Key job responsibilities

• Define, develop, and build business critical metrics and reports across all business levers, key performance indicators, and financials.
• Provide data engineering with functional and technical requirements to improve efficiency of data pipelines.
• Own strategy and alignment of analytical initiatives across the global partner teams.
• Drive efforts with business leaders, BI leaders and executive management across the partner organization.
• Own key executive reports and metrics that are consumed by our executive leadership team and partner field organization.
• Provide thought leadership in global business deep dives across a variety of key performance indicators.
• Partner with engineering, product, business and finance teams to create key performance indicators and new methodologies for measurement.
• Translate data into actionable insights for stakeholders both in and out of the team, create analytical insights to identify key priorities.
• Proactively make and justify recommendations based on advanced statistical techniques, deep familiarity with the customer or developer experiences, as well as by cross-referencing multiple data sources and comparing against the wider industry.
• Automate reporting for regular metrics, identify areas of opportunity to automate, scale ad-hoc analyses, build and inform BI tool improvements.

BASIC QUALIFICATIONS

• Bachelor's degree in Computer Science, Engineering, Statistics or a related, highly analytical field
• 5+ years of professional experience in data analytics, business analysis, and business intelligence
• 5+ years of hands-on experience using SQL for ETL, data warehousing, data modeling, and analyses
• 3+ years of experience with data visualization platforms (e.g. Tableau, Quicksight, QlickView)
• Experience with statistical techniques, such as regression analysis, predictive modeling, segmentation, forecasting, hypothesis testing, multivariate testing
• Experience data mining with large data sets and big data technologies
• Excellent written communication skills across technical and non-technical stakeholders

PREFERRED QUALIFICATIONS

• 7+ years of professional experience in data analytics, business analysis, and business intelligence
• 3+ years of experience using data to build business cases, back up assumptions, develop hypotheses, and complete root cause analysis.
• 2+ years hands-on experience in a scripting language
• Excellent analytical and inter-personal skills, with track record of recommending business decisions using data
• Experience working with AWS services and/or other cloud-based big data solutions
• Experience working within a Sales, Marketing, or SaaS organization highly preferred