Senior Data Analyst - Hybrid in office - Dallas HQ

Role Summary

Triumph is seeking a strategic and hands-on Senior Data Analyst to drive data-informed decisions across the organization. This role involves partnering with leaders to uncover insights, improve reporting, and support high-impact business initiatives.

Day in the Life

• Work closely with senior leadership, engineering, and product teams to uncover insights, improve reporting, and support high-impact business initiatives.
• 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.
• Agregate 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.

What You’ll Be Doing

• 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.
• Agregate 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.

What Makes You a Great Fit

• 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, GitHub, 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.