LogistixIQ DBA Automatize Logistics, LLC is looking to advance logistics intelligence with agentic and generative AI tailored to the bulk haulage market to improve customer experience by driving data-informed insights, including customer health scoring, QBRs, product development, and AI strategy.
Requirements
- Proficiency in Python, SQL, and working with *JSON
- -structured data.
- Familiarity with JavaScript and AWS Lambda environments is a plus.
- Strong data storytelling skills using *PowerPoint, Canva
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- An understanding of using AI to “Vibe” code small proof of concepts around data identified opportunities in an Agile methodology.
Responsibilities
- Analyze customer behavior, fleet operations, and KPI trends using Python, SQL, and visualization tools to deliver proactive recommendations to clients and the company.
- Create structured client focused dashboards using the templates already existing in the platform and enabling agentic AI and growing into generative capabilities.
- Identify system enhancements based on recurring themes in customer and platform operational data.
- Surface insights that advocate for customers and challenge internal assumptions, tied to proactive functional recommendations with underlying data
- Build data backed narratives that connect insights to business impact (cost, efficiency, NPT reduction) in a story-telling fashion
- Partner with the Technology team to assess data readiness for AI/ML use cases.
- Clean, analyze and deliver data to the technical team to be leveraged for product build and AI enhancements.
Other
- This role is full-time, on-site 5 days a week.
- Create executive-ready presentations for customer QBRs in support of the Director of Customer Engagement.
- Triage and assign customer support tickets to the appropriate teams and harvest the data for recommendations on improving the company, customer and technical operations
- Contribute to the development of agentic and generative AI applications using customer data.
- Translate platform data into insights that shape AI development priorities.
