3+ years of experience in analytics
Large data handling proficiency
Ability to generate Insights from data
Independently lead the charter at an individual level
Knowledge of following tools: SQL, Advanced Excel, Basics of R/Python, QuickSight, Tableau
Job summary
Amazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst II for Analytics team. This role leads Middle Mile Analytics roadmap having interactions with Sr. Leadership and requiring developing large scale automated reporting and insighting solutions.
Key job responsibilities
1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.
2) Translate complex or ambiguous business
problem statements into analysis requirements and maintain high bar throughout the execution.
3) Define analytical approach; review and vet
analytical approach with stakeholders.
4) Proactively and independently work with
stakeholders to construct use cases and
associated standardized outputs
5) Scale data processes and reports; write queries
that clients can update themselves; lead work with data engineering for full-scale automation
6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis
7) Work with a variety of data sources
and Pull data using efficient query development that
requires less post processing (e.g., Window
functions, virt usage)
8) When needed, pull data from multiple similar
sources to triangulate on data fidelity
9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team
10) Provide program communications to stakeholders
11) Communicate roadblocks to stakeholders and propose solutions
12) Represent team on medium-size analytical projects in own organization and effectively communicate across teams
A day in the life
1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes
2) Have the capability to handle large data sets in analysis through the use of additional tools
3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes
4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved
6) Communicate complex analytical insights and business implications effectively
About the team
We are organized as two teams: ATE (Analytics Technology and Engineering) and AOP (Analytics Operations and Programs). ATE is responsible for creating core analytics tech capabilities and data engineering. It comprises of platforms/applications, automations, science modelling, data engineering and PerfectMile development. AOP leverages the foundational data set-up by ATE to build reporting and analytics capabilities (e.g. defect attribution) providing visibility on operations performance and implement programs to improve network efficiency and defect reduction. ATE and AOP combined are missioned to develop and standardize BI (reporting and data engineering), Data Science and Tech capabilities to improve operations performance. This role is part of AOP team.
UG from reputed institutions
Good verbal/communication Skills
Raises bar on statistical Skills
High proficiency with SQL and Python/JavaScript
Exposure to AWS services
Exposure to data sciences/ML
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