Business Intelligence Engineer, Games Finance Analytics

• 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with scripting language (e.g., Python, Java, or R)
• Bachelor's degree

Amazon is all-in on games, and our mission is to be the most customer-obsessed company in the games industry. We have one of the most exciting roadmaps in the industry and are actively developing and publishing a portfolio of original IP and high-ambition games we hope players love and play for years to come.
Games Finance Analytics team is seeking a talented and motivated Business Intelligence Engineer (BIE) to join our team. This is your opportunity to be a core part of the team that has direct impact on the long-term roadmap of Amazon Games. As a BIE, you will partner with other engineers on the team to develop best-in-class Business Intelligence solutions at scale. You will work with structured datasets to develop KPIs and provide insights.
Key job responsibilities
As a Business Intelligence Engineer on our team, you will work on the cutting-edge data architecture and reporting that powers Cognitive tools and informs data-backed decision-making.

• You will develop an understanding of the association between business processes and data
• You will consult with technical leads to understand customer needs and define analytical requirements
• You will design structured, multi-sourced datasets designed to deliver results
• You will be required to design and influence operational best practices for reporting and analytics to enable the team to scale
• You will own the maintenance of ongoing reports, analyses, and dashboards
• You will communicate verbally or in writing to business customers / leadership to sharing insights and recommendations

A day in the life

• Use technical expertise to suggest ways to improve processes and incorporate operational excellence best practices
• Use analytical and statistical rigor to answer business questions and drive business decisions
• Recognize and adopt best practices in reporting and analysis: data integrity, design, analysis, validation, and documentation
• Improve the Knowledge management environment by creating technical documentation / working papers

We are open to hiring candidates to work out of one of the following locations:
Seattle, WA, USA

• Experience with statistical analysis, co-relation analysis
• Knowledge of data modeling and data pipeline design
• Master's degree in engineering, statistics, computer science, mathematics, or a related quantitative field

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $65,800/year in our lowest geographic market up to $165,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

Health insurance