Business Analyst

Job description

DESCRIPTION

How can we optimize headcount planning process to deliver the best experience for our sellers, vendors, brand and associates? How to leverage Machine Learning (ML) models to predict key planning inputs such as Average Handle Time, Incoming Seller /Vendor contacts, Associate Attrition etc? How to optimize day-to-day staffing by leveraging intra-day data on multiple key planning inputs?
The answers to these questions and others like them are core to helping Amazon's Marketplace business in many ways, including delivering best-in-the-class seller, vendor and associate experience. Our cross-functional team works closely with various stakeholders world-wide such as Finance, Operations, Regional Capacity Planners, Global Planning, Hiring and Training to help them make data-driven business decisions.

Using Amazon's large-scale data and computing resources, the BA will work closely with Economists and Data Scientists in building and maintaining ML models to take a deep dive on the headcount forecasting models. You will own the delivery of forecast to various stakeholders and build metrics, dashboards to be shared with the leadership team. BA will perform business analysis and data queries using appropriate tools. We are looking for a passionate, hard-working, and talented BA who has experience building mission critical, high volume applications that customers love.

Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.

Desired profile

BASIC QUALIFICATIONS

· Bachelors or Master's degree in Business, Statistics, Economics, Mathematics or related field.
· 2+ years of professional experience in Analytics / Business Intelligence environment.
· Proficient in at least one scripting language such as R, Python, Scala or Spark.
· Advanced hands-on knowledge of SQL.
· Proficiency in Excel.
· Familiarity with Linux command line.
· Proven analytical and quantitative skills with an ability to use data and metrics to back up assumptions, develop business cases, and complete root cause analyses.
· Proven track record working with large cross functional teams with the ability to independently execute the delivery.
· Exhibits ability to meet tight deadlines, prioritize workloads in a fast- paced environment.