AI & Analytics Strategy Partner

Trinity Industries, Inc.

United States

On-site

USD 120,000 - 180,000

Full time

14 days+

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Job summary

Trinity Industries, Inc. seeks an AI & Analytics Business Partner to bridge data capabilities with key business functions in Dallas, TX.

You will translate insights into actionable strategies, drive AI-enabled decision-making, and partner across IT and business leadership to scale data-driven initiatives. You will lead analytics roadmaps, develop executive dashboards, and foster data literacy while championing responsible AI use.

Qualifications

  • Bachelor's degree in data-related field required.
  • 5+ years in data analytics, BI, or data strategy, with business-facing experience.
  • Strong SQL; Python or R is a plus.
  • Experience building executive dashboards and reports.
  • Hands-on with AI tools to accelerate analysis and workflows.

Responsibilities

  • Serve as data and analytics liaison for assigned business units.
  • Translate business questions into analytical problems with data engineering support.
  • Develop and maintain dashboards, reports, and self-service tools.
  • Identify AI opportunities to improve efficiency, revenue, or risk.
  • Lead requirements gathering with business leaders for measurable outcomes.
  • Champion data literacy and responsible AI use across the organization.
  • Pilot AI tools to enhance speed and depth of insights.

Skills

Data storytelling
AI literacy
Analytical thinking
Communication

Education

Bachelor's degree in Data Science/Analytics/Statistics/IS
Master's degree (MBA/MS Analytics) preferred

Tools

Power BI
Tableau
SQL
Python
R

Job description

Trinity Industries, Inc. seeks an AI & Analytics Business Partner to bridge data capabilities with key business functions in Dallas, TX.

You will translate insights into actionable strategies, drive AI-enabled decision-making, and partner across IT and business leadership to scale data-driven initiatives. You will lead analytics roadmaps, develop executive dashboards, and foster data literacy while championing responsible AI use.

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