Business Analyst , AOP

Job Description

Job summaryAmazon Transportation team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once.Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done.This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams.Key job responsibilities1) Apply multi-domain/process expertise in day to day activities and own end to end roadmap.2) Translate complex or ambiguous businessproblem statements into analysis requirements and maintain high bar throughout the execution.3) Define analytical approach; review and vetanalytical approach with stakeholders.4) Proactively and independently work withstakeholders to construct use cases andassociated standardized outputs5) Scale data processes and reports; write queriesthat clients can update themselves; lead work with data engineering for full-scale automation6) Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis7) Work with a variety of data sourcesand Pull data using efficient query development thatrequires less post processing (e.g., Windowfunctions, virt usage)8) When needed, pull data from multiple similarsources to triangulate on data fidelity9) Actively manage the timeline and deliverables of projects, focusing on interactions in the team10) Provide program communications to stakeholders11) Communicate roadblocks to stakeholders and propose solutions12) Represent team on medium-size analytical projects in own organization and effectively communicate across teamsA day in the life1) Solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes2) Have the capability to handle large data sets in analysis through the use of additional tools3) Derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing5) Identify and implement optimal communication mechanisms based on the data set and the stakeholders involved6) Communicate complex analytical insights and business implications effectivelyAbout the teamAOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace.AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession.We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities.We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams., 1+ years of experience in financial/business analysis Experience with SQL or ETL Experience defining requirements and using data and metrics to draw business insights Bachelors from Tier I institutions 2 to 4 years of experience in analytics Exceptional written and verbal communication skills Proficient in handling large data sets Proficient in : SQL, Advanced Excel, R/Python Knowledge of cloud computing platforms, AWS Services 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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documentationrequirementsfunctionalcustomer relationsbusiness requirements