Business Analyst, Employee Experience

Job description

DESCRIPTION

Do you want to play an instrumental role in bringing leading employee experience strategies to Amazon's high growth environment? Customer Trust and Partner Support is seeking a Business Analyst to support our employee experience, including learning & development and diversity & inclusion programs. This person will help define key metrics to measure the impact of employee experience initiatives and develop weekly/monthly business level reporting. The business analyst will also lead ad-hoc analyses to identify areas for experimentation, evaluate the efficacy of current programs and inform targeted action plans both at regional and global level. The ideal candidate will be excited about using data to understand business performance, develop insights based on their work and summarize findings for management consumption.
In this role, you will:
· Work directly with senior management to analyze employee experience data and produce tangible insights that guide the employee experience roadmap.
· Build analytical models, using HR and business intelligence data systems, to inform the employee experience strategy in a fast moving environment.
· Develop new techniques to process large data sets, address quantitative problems, and recommend white spaces for experimentation.
· Support data needs related to business cadence such as weekly, monthly and quarterly business reviews.
· Build dashboards that enable leaders to understand employee experience and business data, assess functional business performance and develop targeted action plans.
Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Desired profile

BASIC QUALIFICATIONS

· Bachelor's degree in Business, Engineering, Statistics, Computer Science, Mathematics, Supply Chain or related field
· 3+ years of relevant experience in a business analyst, data analyst or statistical analysis role
· Proficient extracting and processing data using SQL and Excel
· Effective verbal and written communications skills.
· Excellent organizational skills including prioritizing, scheduling, time management, and meeting deadlines
· Ability to deal with ambiguity and competing objectives in a fast paced environment.