Relay Product Excellence's mission is to monitor Transaction Integrity for products supporting Identity Verification, Account Support, and Compliance across Carrier and Driver processes. Our team works at the intersection of risk management, regulatory compliance, and data-driven operations — partnering with product and technology teams to ensure the integrity and reliability of processes at scale.
- 5+ years of business analyst, data analyst or similar role experience
- Experience defining program requirements and using data and metrics to drive improvements
- Experience influencing multiple stakeholders and leading cross functional teams across geographies and business units
- 5+ years of driving end to end delivery, and communicating results to senior leadership experience
- Experience working proactively and independently, meeting deadlines, and delivering on projects and tasks
- Experience managing competing priorities and using metrics to drive business decisions
- Experience with data processing needs and trade-offs
- Experience with advanced analytics
- Bachelor's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or experience working in Science, Technology, Engineering, or Mathematics (STEM)
- 7+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 5+ years writing SQL queries and creating business intelligence reports using Quicksite, Power BI, or similar tools
- Proven ability to assess risks, clear blockers with right resources, and escalate when appropriate
- Ability to quickly learn and gain proficiency in new technical tools and languages
- Master's degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field
- 5+ years of equivalent experience
- Experience with scripting language (e.g., Python, Java, or R)
- Experience in machine learning, statistics, and deep learning
- Experience with SQL and Python scripting
- Experience working with stakeholders to plan and execute programs that are strategic in nature
- Experience escalating issues, anticipating and making trade-offs, balance the business need versus other constraints and maximize business benefit while building great customer experiences
- Experience in transportation and supply chain
- Strong background in statistics methodology, applications to business problems, and/or big data
- Experience designing and developing automated data pipelines and sophisticated analytical modeling
- Experience with data management tools including Hadoop/Hive, Redshift, Oracle, NoSQL databases
- Expert at applying complex transformations within spreadsheets, SQL, or other tools to generate recommendations
- Experience performing peer reviews for others within organization
- Demonstrated ability to distinguish between one-way and two-way doors in decision-making
- Experience partnering with technical experts (Business Intelligence Engineers, Data Scientists) to apply advanced analytics
- Proven track record driving operational excellence through improving, streamlining, and/or eliminating excess process
- Experience identifying process or methodology gaps and partnering across teams to drive to closure
- Wide multi-domain knowledge and expertise with ability to lead end-to-end delivery of simplified solutions
- Considered analytical leader on team and expert in synthesizing business knowledge and data across wide variety of subject areas
- Knowledge of optimization techniques and their application to business problems
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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