Business Intelligence Engineer
Hyderabad, TS, IND
4d ago

Job summary

At Amazon, our businesses continue to grow and expand because of our innovative technologies, extensive global retail selection, and world class operations delivery for our customers.

Driving all of our businesses are our talented employees who are strong owners, have the highest standards, and obsess over our customers.

Amazon is looking for an experienced Business Intelligence Engineer to support several critical initiatives related to delivering a perfect pay experience to every employee.

In this role, you will explore raw data sets from multiple systems (both internal and external), design analyses, and create insightful reports and compelling visualizations that optimize our pay programs.

Your work will directly influence decisions and efforts to perfect how Amazon pays its employees. You will provide leadership in analytic process excellence to ensure our initiatives are effective, scalable, and aligned to the strategic goals of the organization.

This role requires sound business acumen in order to gauge priorities and provide targeted solutions. Successful candidates will have experience creating compelling arguments and visualizations, the ability to drive through ambiguity, and the ability to influence with data-driven recommendations.

Key job responsibilities

  • Develop and execute data analytic strategies to drive insights related to Amazonian (employee) experience with respect to Pay defects.
  • Conduct and drive Defect analysis per different point of view; by business unit, owner, life cycle and pay element, etc.
  • Translate business issues into questions that can be answered with data.

  • Develop actionable research data methodologies, predictive models and plans.
  • Work closely with peers and stakeholders to access, pull, clean, analyze, and represent data from a variety of sources.
  • Gather new data, link disparate forms of data, and / or creatively use existing data to propose new paths forward and present your justification in compelling way.
  • Conduct statistical data analyses where helpful, including t-tests, factor-analyses, and regressions.
  • Compile results in a concise, meaningful, and actionable format and share findings to senior leadership.
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