Reverse Logistics Data Analyst

Job Summary The Reverse Logistics Data Analyst is responsible for managing, developing, and analyzing all data and reporting models that support current and future Reverse Logistics needs. This role will drive the team’s data capabilities forward by designing new data models, identifying improvement opportunities within current data sets, and proactively supporting cross-department partners through clear, timely, and effective communication. Remote Work Qualifications

• Access to a reliable and secure high-speed internet connection. Cable or fiber internet connections (at least 75mbps download/10mbps upload) are preferred, as satellite connections often cannot support the technologies used to perform day-to-day tasks.
• Access to a home router and modem.
• A dedicated home office space that is noise- and distraction-free. The space should have strong wireless connection or a wired Ethernet connection (wired connection is preferred, if possible).
• A valid, physical address (apartment, suite, etc.). PO Boxes are not supported, as a physical address is required for you to receive your computer equipment.
• The desire and ability to work and communicate with other team members via chat, webcam, etc.
• Legal residents of one of the following states: (AK, AL, AR, AZ, CT, DE, FL, GA, IA, ID, IN, KS, KY, LA, MD, ME, MI, MN, MO, MS, NC, ND, NH, NM, NV, OH, OK, PA, SC, SD, TN, TX, UT, VA, VT, WI, WV, and WY).

We only accept W-2 candidates, H-1B sponsorship is not available.

Responsibilities

• Serve as the Reverse Logistics department’s primary reporting and data subject matter expert.
• Assess reporting needs and collaborate closely with senior leadership and internal teams to design and deliver scalable data solutions when necessary.
• Write and manage data tickets when required information is not yet available within the data warehouse.
• Build, enhance, and maintain data structures aligned to Reverse Logistics requirements.
• Represent Reverse Logistics as the key stakeholder in cross-functional BI development efforts.
• Develop a deep understanding of departmental workflows to ensure reporting accurately reflects business processes and needs.

Physical Requirements

• Work is performed while sitting/standing and interfacing with a personal computer.
• Requires the ability to communicate effectively using speech, vision, and hearing.
• Requires the regular use of hands for simple grasping and fine manipulations.
• Requires occasional bending, squatting, crawling, climbing, and reaching.
• Requires the ability to occasionally lift, carry, push, or pull medium weights, up to 50lbs.

Qualifications

Experience

• Minimum of two years of relevant data analytics experience.
• Strong analytical mindset with proven ability to interpret complex datasets.
• Experience using analytical tools such as Power BI, Python, SQL, or related technologies.
• Demonstrated experience in data creation, transformation, cleansing, and reporting to support business decision-making.

Education This role does not require a degree. We value relevant skills and experience and alignment with our core values above all else. Desired Traits & Skills

• Proficiency in Microsoft Office applications (Outlook, Word, Excel, PowerPoint).
• Strong problem-solving skills with the ability to think strategically and provide actionable insights.
• Excellent verbal and written communication skills, with the ability to translate complex technical concepts into clear, simple language.
• Proven ability to manage multiple priorities and deadlines in a fast-paced environment.
• Adaptable to changing business needs and capable of handling challenging situations with professionalism, diplomacy, and emotional intelligence.
• Customer-focused mindset with a strong commitment to delivering high-quality service.

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