Business Analyst II

Job description

DESCRIPTION

Amazon last mile analytics team is looking for a motivated individual with deep analytics experience. The last mile analytics team works with geospatial models (addresses, geocodes, maps), operator tools, routing/sort tech, and topology of delivery nodes. This position will be responsible for delivering analytics solutions to last mile products and processes in the form of reports, insights and analytical models. This person would collaborate with technology, product and operations teams and embed an analytics layer to programs and products.

· Basic Qualifications
- Bachelor's Degree in quantitative disciplines (Engineering, Statistics).
- Familiarity with analytics methods. At least three (Data Prep / Wrangling, Custom Reports / Dashboards, Statistical Inference, Clustering, regression & classification).
- Proficient in Data / Analytics platforms as a user. At least two (SQL, R, Python).
- Full Time / Regular degree from Tier 1 Colleges is a plus

· Preferred Qualifications
- Bachelor's Degree in quantitative disciplines (Engineering, Statistics).
- Familiarity with analytics methods. At least three (Data Prep / Wrangling, Custom Reports / Dashboards, Statistical Inference, Clustering, regression & classification).
- Proficient in Data / Analytics platforms as a user. At least two (SQL, R, Python).
- Full Time / Regular degree from Tier 1 Colleges is a plus

Desired profile

· Basic Qualifications
- Bachelor's Degree in quantitative disciplines (Engineering, Statistics).
- Familiarity with analytics methods. At least three (Data Prep / Wrangling, Custom Reports / Dashboards, Statistical Inference, Clustering, regression & classification).
- Proficient in Data / Analytics platforms as a user. At least two (SQL, R, Python).
- Full Time / Regular degree from Tier 1 Colleges is a plus

· Preferred Qualifications
- Bachelor's Degree in quantitative disciplines (Engineering, Statistics).
- Familiarity with analytics methods. At least three (Data Prep / Wrangling, Custom Reports / Dashboards, Statistical Inference, Clustering, regression & classification).
- Proficient in Data / Analytics platforms as a user. At least two (SQL, R, Python).
- Full Time / Regular degree from Tier 1 Colleges is a plus

BASIC QUALIFICATIONS

Basic Qualifications
- Bachelor's Degree in quantitative disciplines (Engineering, Statistics).
- Familiarity with analytics methods. At least three (Data Prep / Wrangling, Custom Reports / Dashboards, Statistical Inference, Clustering, regression & classification).
- Proficient in Data / Analytics platforms as a user. At least two (SQL, R, Python).
- Full Time / Regular degree from Tier 1 Colleges is a plus