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this job is with amazon, an inclusive employer and a member of mygwork – the largest global platform for the lgbtq+ business community.
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description
amazon's transportation team is looking for an innovative, analytical, and customer-obsessed business intelligence engineer to join our analytics team.
the ideal candidate will bring strong attention to detail, excellent communication skills, and the ability to manage multiple analytical projects efficiently.
we value professionals who can translate complex data into actionable insights and communicate these effectively to stakeholders at all levels.
in this role, you will be responsible for developing and implementing solutions that help detect and prevent operational issues before they impact our customers.
your analytical mindset and sound judgment will be essential in prioritizing projects and driving improvements to enhance the customer experience.
we're looking for someone who can think strategically while maintaining a strong focus on execution.
the successful candidate will define problems and build analytical frameworks to streamline operations, leveraging data analysis to identify process gaps and opportunities for improvement.
you'll collaborate closely with cross-functional teams to implement solutions and drive meaningful change.
key responsibilities include conducting in-depth data analysis, creating and maintaining dashboards, and regularly sharing insights with internal stakeholders to support data-driven decision-making.
success in this position requires adaptability, quick learning, and a passion for using data to solve complex business problems.
you'll have the opportunity to work with large-scale datasets and advanced technologies while contributing to the continuous improvement of our transportation network.
key job responsibilities
apply multi-domain expertise to daily activities and own the end-to-end project roadmap.
translate complex or ambiguous business problems into clear analysis requirements, maintaining high standards throughout execution.
define and review analytical approaches with stakeholders, ensuring alignment with business objectives.
proactively work with stakeholders to develop use cases and standardized outputs, communicating effectively across teams.
develop efficient queries using advanced sql techniques (e.g., window functions, virtual tables) to work with various data sources, minimizing post-processing needs.
scale data processes and reports, creating updateable queries for clients and collaborating with data engineering for full-scale automation.
maintain comprehensive knowledge of available data across the business to support complex and comparative analyses.
ensure data fidelity by cross-referencing multiple sources when necessary.
actively manage project timelines and deliverables, focusing on team interactions and communication.
provide regular updates to stakeholders, including progress reports and identification of potential roadblocks with proposed solutions.
lead medium-sized analytical projects within the organization, representing the team effectively.
stay current with emerging technologies and best practices in business intelligence and data analytics.
a day in the life
solve ambiguous analyses with less well-defined inputs and outputs; drive to the heart of the problem and identify root causes
handle large data sets in analysis through the use of additional tools
derive recommendations from analysis that significantly impact a department, create new processes, or change existing processes
understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing
identify and implement optimal communication mechanisms based on the data set and the stakeholders involved
communicate complex analytical insights and business implications effectively
about the team
the aop (analytics operations and programs) team is tasked with standardizing bi and analytics capabilities and reducing repetitive analytics/reporting/bi workload for operations across multiple marketplaces.
the team provides visibility into operations performance and implements programs to improve network efficiency and reduce defects.
comprising engineers, analysts, and scientists, we champion customer obsession and enable data-driven decisions through dashboards, self-serve capabilities, and advanced analytics.
we collaborate with operations to identify and implement data-driven metric improvement programs.
basic qualifications
3+ years of analyzing and interpreting data with redshift, oracle, nosql, etc.
experience with data visualization tools like tableau, quicksight, or similar
experience with data modeling, warehousing, and etl pipelines
experience with aws solutions such as ec2, dynamodb, s3, and redshift
sql proficiency for data extraction and scripting (python preferred)
experience developing and presenting new metrics for business understanding
4+ years of experience in ecommerce, transportation, finance, or related analytical fields
preferred qualifications
experience with statistical analysis packages like r, sas, matlab
experience in data mining, etl, and working with large, complex datasets in a business environment
we support an inclusive culture and provide accommodations for applicants with disabilities.
for more information, visit .
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seniority level
mid-senior level
employment type
full-time
job function
engineering and information technology
industries
technology, information and internet
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