Business Intelligence Engineer, Amazon Last Mile
Amazon
Business Intelligence Engineer, Amazon Last Mile
Job Description
Come help Amazon create cutting-edge data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the “magic” of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role. Responsibilities: · Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations · Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities · Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value Navigate ambiguity to develop analytic solutions and shape work for junior team members
Locations
- Hyderabad, Telangana, India
Skills Required
- data visualization using Tableauintermediate
- data modelingintermediate
- Statistical Analysis packages such as Rintermediate
- SQL to pull data from a databaseintermediate
- SQLintermediate
- Python scripting to process data for modelingintermediate
- Microsoft Excel at an advanced levelintermediate
- AWS solutions such as EC2intermediate
- data miningintermediate
Required Qualifications
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience (experience, 3 years)
- 2+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience (experience, 2 years)
- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field, or 2+ years of Amazon RME (BB/3P) Full Time Exempt experience (experience, 2 years)
- Experience with data visualization using Tableau, Quicksight, or similar tools (experience)
- Experience with data modeling, warehousing and building ETL pipelines (experience)
- Experience in Statistical Analysis packages such as R, SAS and Matlab (experience)
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling (experience)
- Experience using SQL (Structured Query Language) to pull data from a database or data warehouse (experience)
- Experience using Python scripting to process data for modeling (experience)
Preferred Qualifications
- Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field (degree in above in bi)
- Knowledge of Microsoft Excel at an advanced level, including: pivot tables, macros, index/match, vlookup, VBA, data links, etc. (experience)
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift (experience)
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets (experience)
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business (experience)
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