Data Modeling Specialist II: Aftermarket Analytics

Daimler Truck AG

Portland (OR)

On-site

USD 78,000 - 100,000

Full time

10 days ago

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Benefits offered by this job

401k matching
Vacation
13+ holidays
Parental leave
Healthcare plans
Tuition assistance
Wellness programs
Onsite fitness

Job summary

Daimler Truck North America is seeking a data-analytic professional to support the aftermarket supply chain. You will help develop analytic capabilities for new product introductions and end-of-life analysis, coordinating with IT and ASCO to deliver data-driven recommendations.

The role emphasizes leveraging data to improve uptime, support part availability at launch gates, and influence project delivery across DTNA’s distribution network.

Qualifications

  • Bachelor’s degree or equivalent with related experience.
  • (Knowledge area) Data analytics, visualization, and data wrangling.
  • Experience with aftermarket parts or supply chain is a plus.

Responsibilities

  • Support initiatives to develop analytic competencies for the aftermarket supply chain.
  • Coordinate projects between IT and ASCO teams.
  • Provide business analysis, insights, and recommendations to drive aftermarket revenue and uptime.
  • Assist with initial aftermarket part recommendations for new product launches.

Skills

Data analysis
SQL
Tableau
Power BI
Alteryx
MS Excel (Pivot, VBA)
DTNA systems knowledge
Logistics & supply chain
Communication
SAP Paragon familiarity

Education

Bachelor’s or Associate degree with related experience

Tools

Tableau
Alteryx
Power BI
SAP Paragon
SQL

Job description

Daimler Truck North America is seeking a data-analytic professional to support the aftermarket supply chain. You will help develop analytic capabilities for new product introductions and end-of-life analysis, coordinating with IT and ASCO to deliver data-driven recommendations.

The role emphasizes leveraging data to improve uptime, support part availability at launch gates, and influence project delivery across DTNA’s distribution network.

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