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Business Intelligence Engineer, Workforce Solutions - Talent Management

Amazon · Seattle, WA · Today
AnalystFull-time

About the role

The Workforce Solutions Talent Management team is looking for a Business Intelligence Engineer (BIE) who enjoys diving into complex business problems, providing data-driven insights, and making recommendations that directly impact business.

Responsibilities

  • Develop scalable models and tools that speed up both decision making and accuracy for the team

  • Show good judgement making technical trade-offs between the team’s short term and long term business needs

  • Navigate discordant views, find the best way forward, and influence stakeholders around a solution

  • Define, develop, and maintain critical business and operational reports reviewed on a weekly, monthly, quarterly, and annual basis

  • Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendation

  • Mining and manipulating data from database tables, simulation results, and log files

  • Identify data needs and drive data quality improvement projects

  • Understand the broad range of Amazon’s data resources, which to use, how, and when

  • Model complex/abstract problems and discover insights using statistics, data mining, and visualization techniques

  • Automate processes by developing deep-dive tools, UIs, metrics, and dashboards to communicate insights to the business teams

  • Collaborate effectively with internal end-users, cross-functional software development teams, Data Engineering teams, Analytics teams etc. to solve problems and implement new solutions

Requirements

  • 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 one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared)

  • Experience with scripting language (e.g., Python, Java, or R)

Preferred Qualifications

  • Master's degree, or Advanced technical degree

  • Knowledge of data modeling and data pipeline design

  • Experience with statistical analysis, correlation analysis

Qualifications

  • Experience with Amazon’s data resources and tools

Benefits

Amazon offers comprehensive benefits including health insurance, retirement plans, paid time off, parental leave, and more. For more information, visit https://amazon.jobs/en/benefits.

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