Description MM Fleet is looking for a data-driven and naturally curious Infrastructure Data Specialist to join the fast-moving Fleet Infrastructure team. This person will support the In-Yard Infrastructure Team and work to enable learnings through data capture from our deployed infrastructure assets in Middle Mile. The ideal candidate is a person with a background in data gathering and reporting with an ability to work across projects and teams, working to inform key decisions about EV charging, Wash Bay, and Snow Removal equipment operations. Experience with Amazon operations is valuable for this role. The position is located in Bellevue, WA. Travel up to 15% required. Key job responsibilities - Ongoing capture, recording, and basic analysis of infrastructure & utility data, informing EV charging cost savings for Fleet - Develop a database for capturing infrastructure data, to report to leadership - Review safety data at existing EV charging sites, identifying areas of improvement - Track weekly growth of EV charging network, capturing data in Asana for visibility to Fleet leadership - Track and record data into dashboards and AAP for ongoing programs such as EV charging software, wash bays, and EV truck testing - Tracking completion of grant programs to capture savings, working with internal stakeholders and 3P grant companies to meet requirements - Gather EV charger OEM maintenance data, report into dashboards for performance tracking - Develop close relationships with operations teams on-site to ensure that daily EV charging operations are met, working quickly to resolve site issues with EV chargers that maintenance systems do not resolve - Handle multiple task, projects, and daily activities, meet deadlines, and develop plans on how to accomplish departmental and distribution goals About the team The MM In-Yard Infrastructure Team develops the strategy and planning for building in-yard infrastructure (EV charging, Wash Bays, Snow Removal, H2 fueling) as well as offsite infrastructure that supports Middle Mile's growing network of trucks. Basic Qualifications - 1+ years of working with computers and Microsoft Office products and applications experience - 1+ years of data analysis and formula creation in Microsoft Excel experience - High school or equivalent - Work 40 hours/week, and overtime as required Preferred Qualifications - Experience using data to drive root cause elimination and process improvement - Bachelor's degree or equivalent - 1+ years of creating databases for data entry Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $43,900/year in our lowest geographic market up to $79,800/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.