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Data Modeling Specialist II

Daimler Truck North America
12 hours ago
Full-time
On-site
Portland, OR, United States
$78,000 - $100,000 USD yearly
Indeed

remote type Onsite locations Portland, OR US time type Full time posted on Posted Today time left to apply End Date: November 9, 2026 (6 days left to apply) job requisition id DT-20459 Inside the Role This position will focus on supporting initiatives to improve and develop analytic and data analysis competencies for the aftermarket supply chain team related to new part introduction & end-of-life analysis. This position also calls for the coordination of projects, operating as the liaison between IT and the Aftermarket Supply Chain Operations (ASCO) team. Candidate will provide business analysis, offer insight, and make recommendations to drive decisions to increase aftermarket revenue and customer vehicle uptime. Leveraging data and expanding existing systems, this candidate will determine initial Aftermarket part recommendations to support new product launches for DTNA's distribution network, and work collaboratively with Aftermarket stakeholders to ensure part availability at launch quality gates and project implementation. Posting Information We provide a scheduled posting end date to assist our candidates with their application planning. While this date reflects our latest plans, it is subject to change, and postings may be extended or removed earlier than expected. We Take Care of Our Team We Take Care of Our Team Position offers a starting salary range of $78,000 to $100,000 USD Pay offered dependent on knowledge, skills, and experience Benefits include 401k company contribution with company match up to 8% as well as non-elective company contribution of 3 - 7% depending on age; starting at 4 weeks paid vacation; 13+ calendar holidays; 8 weeks paid parental leave; employee assistance program; comprehensive healthcare plans and wellness programs; onsite fitness (at some locations); tuition assistance and volunteer paid time off; short-term and long-term disability plans. What You Drive at DTNA Utilize and maintain PAR Project initial stocking criteria, database, and automated systems. Represent Parts Optimization in project meetings and report out Aftermarket readiness for core teams, SteerCos, and Executive level forums Own, update, and troubleshoot any issues with key internal reporting tools Use data analytics skills to review supply chain material data and make strategic recommendations for supply chain optimization Support aftermarket part data quality initiatives, such as VMRS addition, part alternate loads, and act as a liaison between upstream material release and SAP-Paragon new material load. Provide support to SAP-Paragon part load team, aftermarket planning and documentation team as needed for materials used on vehicles and required for service. Lead and facilitate regular part lifecycle meetings to discuss escalations for key parts that may not reach their full retention life Review and respond to APC Salesforce tickets requesting part reactivation & and process internal re/deactivation requests and update documentation accordingly Continually review DTNA part catalog for parts that have met their retention life and deactivate those parts accordingly Provide support to District Service and Part Mangers upon request in preparing part stocking proposals for new customers and dealers. Work autonomously and provide general technical guidance and routinely answer questions to multiple departments requesting new material loads for the aftermarket Creation, maintenance, and audit of queries, workflows, and logic that drives department processes and standards. Utilize lean thinking and TOS tools to streamline processes and eliminate waste. Create and maintain KPIs to document performance and improvements. Knowledge You Should Bring Bachelor’s Degree from an accredited university/college with 2 years of related experience OR an Associate’s Degree with 4 years of related experience or 6 years of related experience required. Degree or experience preferred in Information Systems, Computer Science, Data Scienc…

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