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Business Analyst, PXT Expansions

Job Description :
Job summary
Are you looking for a role that supports Amazon's global expansion efforts The People Experience and Technology (PXT) Expansions Team which is part of the Amazonian Experience and Technology (AET) Organization, is looking for a talented problem solver who enjoys working with ambiguity to create a frustration-free employee experience. If you thrive in a fast-paced start-up like environment and want to invent for the future, you'll feel right at home in this role. This individual is a key member of the PXT Expansions Team, which is responsible for creating and maintaining dashboards that help program managers to deliver a frustration-free and defect-free Day 1 launch experience for employees. As a Business Analyst in PXT Expansions, you will be responsible for building forecasts, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high visibility role with goals that directly impacts the bottom line of the business. Location - open to any Amazon Corporate Offices.
Key job responsibilities
Successful candidates demonstrate an ability to:
o Be creative in building, maintaining, and improving forecasting models . And, strong mathematical & business intuition to tie large scale initiatives to volume impact
o Apply analytics and data mining techniques to solve complex problems, drive business decisions and identify major gaps and opportunities
o Clearly communicate strategic findings and recommendations to stakeholders, including senior leaders
o Partner with key members from technical and non-technical teams to build and deliver requirements
o Prioritize and manage multiple priorities simultaneously
About the team
PXT Expansions provides strategic guidance, program management and project execution for Amazon's organic and inorganic (Mergers & Acquisitions) expansions across all Steams and geographies. This includes M&A deal integration, launching new countries, launching new lines of business in existing countries, introducing new employee types (e.g. part-time workers), managing legal entity change work, launching new buildings, and other growth initiatives. The organization's mission is to create ways for Amazon to grow smarter, optimizing for the customer experience by balancing global solutions with local employee needs.
Basic Qualifications :
. Bachelor's degree in Computer Science/Math/Statistics/Engineering or other equivalent quantitative discipline
. 5+ years of experience in Forecasting/data science/advanced business analytics
. Advanced knowledge of SQL, MS Excel, and Visualization tools
. Strong Forecasting & Statistical know how with Experience in Python/R building basic statistical models to address business problems
. Experience developing experimental and analytic plans for forecasting modelling, use of strong baselines, and the ability to accurately determine cause and effect relationships using A/B testing
. Proven ability to work cross-functionally and delivering automated solutions for customer-facing data science problems
Preferred Qualifications :
. Master's degree in Computer Science, Engineering, Statistics, Mathematics, Statistics or related field
. Experience working in/building very large data warehouse environments using AWS Data & Analytics solutions
. Experience conducting large scale data analysis, regression, predictive analysis to support business decision making
. Experience in building customer-facing ML products
secunderabad, TG, IN