DESCRIPTION
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’s is looking for an experienced Sr, Business Analyst 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, then design analyses, creative reporting, 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.
Example responsibilities include:
· Overall insight of defects, develop and execute data analytic strategies to drive insights related to pay
· Defect analysis per different point of view, by BU, 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
· Pre-defect management
· Ad Hoc country request on defect metrics
1. Basic Qualifications
· 8+ years relevant business / data analysis experience
· Bachelor’s degree in applicable field of study
· Experience linking and handling large datasets, summarizing data into metrics and conducting a variety of statistical analyses (e.g. regressions, factor analyses, t-tests)
· Advanced proficiency with spreadsheet software (e.g. Excel)
· Experience using Python, R and other data science tools
· Expert proficiency with data querying and manipulation via SQL
1. Preferred Qualifications
· Bachelor’s in STEM or related field
· 5+ years relevant data analysis and project management experience
· Able to work with financial analyses, assess and mitigate risk, forecast both long and short-term outcomes, and anticipate and navigate scenarios in a complex business environment
· Working knowledge of Oracle Business Intelligence (OBIEE), Microstrategy, PeopleSoft and/or other HRMS systems
· Demonstrated program ownership and consistent delivery on commitments – great organizational skills with exceptional follow through and attention to detail
· Customer service orientation with a demonstrated desire to exceed expectations – ability to serve multiple customers and deliver an excellent employee experience
· Highly flexible, with the ability to identify, analyze and solve problems systematically in a fast-paced, rapidly-evolving organization
· Proven ability to manage multiple projects and competing priorities simultaneously
· Excellent written and verbal communications skills – ability to interface with all levels of the organization, specific strength in influencing decision makers and managing expectations
· Proactive, organized, and detail-oriented; able to ensure rigor and accuracy while meeting deadlines
· Ability to present and clearly communicate complex data, analyses and findings to non-experts
· Ability to maintain discretion and confidentiality with sensitive information
Amazon is an Equal Opportunity-Affirmative Action Employer – Female/Minority/Disability/Veteran/Gender Identity/Sexual Orientation
BASIC QUALIFICATIONS
· 5+ years relevant business / data analysis experience
· Bachelor’s degree in applicable field of study
· Experience linking and handling large datasets, summarizing data into metrics and conducting a variety of statistical analyses (e.g. regressions, factor analyses, t-tests)
· Advanced proficiency with spreadsheet software (e.g. Excel) and at least one statistical software package (e.g. SPSS, Minitab, JMP)
· Experience using data visualization tools such as Tableau or Microstrategy
· Familiarity with data querying and manipulation via SQL
PREFERRED QUALIFICATIONS
· Bachelor’s in STEM or related field
· 4+ years relevant data analysis and project management experience
· Able to work with financial analyses, assess and mitigate risk, forecast both long and short-term outcomes, and anticipate and navigate scenarios in a complex business environment
· Working knowledge of Oracle Business Intelligence (OBIEE), Microstrategy, PeopleSoft and/or other HRMS systems
· Demonstrated program ownership and consistent delivery on commitments – great organizational skills with exceptional follow through and attention to detail
· Customer service orientation with a demonstrated desire to exceed expectations – ability to serve multiple customers and deliver an excellent employee experience
· Highly flexible, with the ability to identify, analyze and solve problems systematically in a fast-paced, rapidly-evolving organization
· Proven ability to manage multiple projects and competing priorities simultaneously
· Excellent written and verbal communications skills – ability to interface with all levels of the organization, specific strength in influencing decision makers and managing expectations
· Proactive, organized, and detail-oriented; able to ensure rigor and accuracy while meeting deadlines
· Ability to present and clearly communicate complex data, analyses and findings to non-experts
· Ability to maintain discretion and confidentiality with sensitive information


Source link