Texas Capital is built to help businesses and their leaders. Our depth of knowledge and expertise allows us to bring the best of the big firms at a scale that works for our clients, with highly experienced bankers who truly invest in people's success - today and tomorrow.
While we are rooted in core financial products, we are differentiated by our approach. Our bankers are seasoned financial experts who possess deep experience across a multitude of industries. Equally important, they bring commitment - investing the time and resources to understand our clients' immediate needs, identify market opportunities and meet long-term objectives. At Texas Capital, we do more than build business success. We build long-lasting relationships.
Texas Capital provides a variety of benefits to colleagues, including health insurance coverage, wellness program, fertility and family building aids, life and disability insurance, retirement savings plans with a generous 401K match, paid leave programs, paid holidays, and paid time off (PTO).
Headquartered in Dallas with offices in Austin, Fort Worth, Houston, Richardson, Plano and San Antonio, Texas Capital was recently named Best Regional Bank in 2024 by Bankrate and was named to The Dallas Morning News' Dallas-Fort Worth metroplex Top Workplaces 2023 and GoBankingRate's 2023 list of Best Regional Banks. For more information about joining our team, please visit us at www.texascapitalbank.com.
Overview
Support the development of analytics solutions for our Finance & Risk pod, with a primary focus on Finance, by translating business problems into analytical products that drive executive decisionmaking. You'll build interactive dashboards and data applications, collaborate closely with our centralized data engineering team to help shape the Finance & Risk analytics roadmap, and work handson in SQL and Python across a modern Snowflake stack (with opportunities to leverage Streamlit, Posit, and emerging agentic AI). The role offers direct exposure to senior leadership, including the CFO and CRO, and meaningful influence on Finance strategy through analytics. This position is a strong fit for a midlevel analyst ready to step into product responsibilities, stay handson technically, and deliver measurable business impact.
Key Responsibilities
- Product Ownership: Lead the development and execution of the Finance & Risk analytics roadmap; contribute to prioritization decisions and help translate requirements into technical specifications with stakeholders and data engineers
- Interactive Applications: Develop analytics applications in Streamlit, Posit, and our existing BI platforms; own the full lifecycle from requirements to production deployment and ongoing iteration
- Last-Mile Analytics: Write SQL and Python for business logic, measures, and semantic layer definitions that drive accuracy, consistency, and strong performance
- Requirements Partnership: Validate that data engineering output meets business needs; provide actionable feedback on data freshness, accuracy, completeness and overall usability
- Stakeholder Communication: Gather requirements from Finance & Risk teams; present findings to executive leadership with a clear articulation of business impact and decision implications
- Advanced Analytics & Innovation: Explore and pilot agentic AI use cases for Finance & Risk analytics; identify opportunities where AI can augment human analysis, improve efficiency, or create new business value
Required Qualifications
- 5+ years of handson experience in analytics, analytics engineering, BI development, or data science experience (or equivalent practical experience)
- Advanced SQL (e.g., CTEs, window functions, performance tuning) and Python for data manipulation (pandas/NumPy), with clean, versioncontrolled code (git workflows)
- Strong understanding of dimensional modeling concepts (e.g., star schemas, conformed dimensions, and SCD handling) and the ability to apply these principles when defining business logic, metrics, and semantic layers (handson model development is helpful but not required)
- Experience with Snowflake or another modern cloud data warehouse, with willingness to deepen Snowflake expertise
- Interactive dashboard development in a modern BI platform (Power BI, Sigma, Looker, or similar), with attention to usability and performance
- Strong communication and crossfunctional collaboration skills, including the ability to translate between business needs and technical implementation
- Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or related quantitative field
Preferred Qualifications
- Analytics application development in Streamlit or Posit (or strong Python fundamentals with willingness to learn quickly)
- Familiarity with Finance & Risk domains (e.g., financial reporting/GL, budgeting & forecasting, or risk analytics)
- Exposure to agentic AI or LLMpowered analytics
- Experience with predictive modeling, timeseri