Senior Data Analyst

Triumph is looking for a strategic and hands‑on Senior Data Analyst to help drive data-informed decisions across the organization. In this role, you’ll partner with leaders across the business to turn complex data into meaningful insights, improve reporting and analytics capabilities, and support initiatives that shape business strategy. If you enjoy solving problems, influencing decisions, and mentoring others, this could be the perfect opportunity for you.

You’ll work closely with senior leadership, engineering, and product teams to uncover insights, improve reporting, and support high-impact business initiatives. From building scalable analytics solutions to presenting data-driven recommendations to executives, no two days are the same.

• Develop reporting, dashboards, and visualizations that support executive decision‑making
• Deliver actionable insights through advanced analysis and data storytelling
• Contribute to board‑level reporting and strategic presentations
• Partner with technology and business teams to improve automation and data infrastructure
• Serve as a subject matter expert on transportation data and analytics strategy
• Build and maintain scalable datasets, ETL processes, and data pipelines
• Ensure data quality, governance, and reporting accuracy through documented processes
• Aggregate and analyze data from multiple systems to support strategic initiatives
• Mentor and support analysts by sharing best practices and encouraging professional growth
• Collaborate across teams to create efficient, data‑driven solutions that deliver customer value

• Bachelor’s degree in Business, Economics, Finance, Computer Science, Data Analytics, or a related field;
  Master’s degree preferred
• 5–8 years of experience in business intelligence, analytics, or data warehousing
• Strong experience influencing business decisions through data analysis and KPI development
• Advanced analytical and statistical skills with the ability to turn data into actionable insights
• Strong programming skills in Python or similar languages
• Advanced SQL skills and experience working with relational databases such as Snowflake, SQL Server, or Oracle
• Experience building and maintaining ETL processes, data pipelines, and reusable datasets
• Familiarity with tools such as dbt, Dagster, Git Hub, and Git‑based workflows
• Experience using visualization tools such as Power BI, Tableau, or Python‑based reporting tools
• Comfortable working with AI‑enabled development tools to improve efficiency and workflows
• Strong understanding of data warehousing concepts and dimensional modeling
• Excellent communication and presentation skills, especially with executive audiences
• Highly organized with strong project management and multitasking abilities
• Detail‑oriented, proactive, and comfortable working in a fast‑paced environment
• Collaborative mindset with a passion for mentoring and supporting teammates
• Experience with cloud platforms such as Azure or AWS is a plus
• Familiarity with knowledge management and documentation tools like Notion is a plus

Medical, Dental, Vision, Paid Time Off, 401k and much more.