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Business Analyst, Relay Fleet Tech
il y a 1 semaine
Experience with SQL
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience defining requirements and using data and metrics to draw business insights
- Experience making business recommendations and influencing stakeholders
- Bachelor's degree or equivalent
- 3+ years of business analyst, data analyst or similar role experience
Amazon is building the next generation of hardware and software products to support our global transportation network.
Relay Fleet Tech owns hardware and software products for telematics, asset management and maintenance, visibility, and reusables for Middle Mile. Our primary customers are carriers, fleet operations, planning and optimization, sort-tech, and loss prevention teams. If you get excited about solving complex and impactful problems at scale, this role is for you.
Our team is looking for a talented, motivated, and self-directed Business Analyst to join our team. As a Business Analyst, you will generate insights that will guide product development and execution for our customers. Data analysis is at the core Amazon’s culture, and your work will have a direct impact on decision making and strategy for our team. You will be gathering customer insights, mining data, making recommendations, and helping senior leaders make key business decisions. You will have the opportunity to dive into multiple transportation products and use data warehouse to gather insights.
Key job responsibilities
1. Own the design, development, and maintenance of ongoing and new metrics, reports, analyses, and dashboards to help determine key business drivers, continually improving reporting and analysis processes.
2. Build a data structure and reporting process by working through various business metrics, which establish truth in data.
3. Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple levels of stakeholders.
4. Leverage data to increase the efficiency of our products working closely with product and business teams to drive optimization..
5. Recognize and adopt best practices in reporting, analysis, and research (data integrity, test design, analysis, validation, and documentation).
- Master's degree in finance, accounting, business, economics, engineering, analytics, mathematics, statistics or a related technical or quantitative field
- Bachelor's degree in engineering, commerce, business administration or equivalent
- Passionate about data, discovering trends, driving actions through insights. Good communication and writing. Effectively communicates with both business and technical teams.
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