Senior Data Analyst (Remote)

Triumph Financial, Inc.

20h•$98,699 - $148,048•Remote

About The Position

Join Triumph! At Triumph, our vision is a world where freight transactions are accurate and seamless on the most modern and secure freight transaction network. That’s why we’re looking for passionate, innovative, solutions-oriented people to join our team. We thrive on providing exceptional customer service and we look for team members with an entrepreneurial spirit and a passion to build successful partnerships with our clients. Because at the end of the day our goal is to help our partners businesses run better. In this role you will lead complex analysis, deliver actionable insights, and support data-driven decision-making across the organization. You'll partner closely with senior leadership, product, engineering, and customer-facing teams to influence business strategy, enhance product performance, and ensure customers realize the full value of our platform. We hope you're a hands-on analyst with strong technical skills, business acumen, and a passion for mentoring others.

Requirements

Bachelor’s degree in Business, Economics, Finance, Computer Science, Data Analytics, or a related field (Master’s preferred).
5–8 years of experience in business intelligence, analytics, or data warehousing.
Proven experience working with cross-functional stakeholders and in customer-facing roles.
Strong track record of delivering insights that influence business and product strategy.
Advanced proficiency in SQL and relational databases (e.g., SQL Server, Snowflake).
Proficiency in Python coding.
Strong Excel skills including pivot tables, lookups, and macros.
Excellent communication and presentation skills, with the ability to engage senior stakeholders and external clients.
Strong project management skills and ability to juggle multiple priorities in a fast-paced environment.
Detail-oriented, analytical, and a self-starter with an entrepreneurial mindset.
Team player with a strong work ethic and ability to mentor others.

Nice To Haves

Familiarity with ETL tools and data pipelines.
Familiarity with cloud platforms (Azure, AWS) preferred.
Knowledge of data warehouse concepts, dimensional modeling, and semantic layers.
Experience in BI tools such as Power BI or Looker.

Responsibilities

Lead in-depth analyses of customer usage, product adoption, financial performance, and operational metrics to identify trends and opportunities.
Collaborate with Customer Success Managers and clients during onboarding to validate model results, scrub and map data, and deliver actionable recommendations.
Partner with product managers to define KPIs and measure the impact of product changes.
Create advanced dashboards and interactive reports using tools like Power BI and Tableau to support executive decision-making.
Aggregate data from multiple systems to provide comprehensive insights and support strategic initiatives.
Implement and document processes to ensure data integrity, governance, and reporting accuracy.
Serve as a subject matter expert in transportation data and contribute to the development of the organization’s long-term data strategy and roadmap.
Provide ad-hoc reporting and support for compliance, legal audits, and discovery requests.
Collaborate with technology and business partners to promote automation and deliver successful reporting-related projects.
Mentor junior analysts and business analysts, promoting best practices and professional development.
Create board-level reports and contribute to strategic presentations for senior leadership.