Senior Data Analyst

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. 

Brief Overview of Position

We are seeking an experienced and technically skilled Senior Data Analyst to drive the development of advanced BI solutions and support strategic decision-making across the organization. In this role, you will design impactful dashboards, analyze complex datasets, and collaborate with technical and business stakeholders to deliver actionable insights. This is a hands-on, highly analytical role that blends technical expertise with a business-focused mindset.

Responsibilities

• Engage with business stakeholders to gather requirements and translate them into technical solutions

• Design and deliver sophisticated dashboards and reports using tools like Power BI to enable data-driven decisions

• Analyze large datasets in Snowflake using SQL and other programming languages (e.g., R, Python) to uncover trends, identify opportunities, and solve business challenges

• Lead the development of reusable templates and reporting frameworks to streamline reporting processes and ensure consistency across domains, ensuring scalability and usability for self-service analytics

• Conduct root cause analysis of data discrepancies and drive resolution with Data Engineers or our central Technology team

• Partner with Data Product Owners, BI Developers, and Data Engineers to align data models and data pipelines with business needs

• Apply statistical techniques (e.g., regression, clustering, forecasting) where applicable to provide forward-looking insights to stakeholders

• Leverage BI tools to embed model outputs (e.g., predictions, scores) into dashboards and operational reports

• Begin integrating more advanced data product management techniques like version control, user research, and roadmap planning

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Data Analytics, Information Systems, Mathematics, or a related field (Master’s preferred)

• 5-7 years of experience in data analytics, data engineering, data science, data product management, or related roles

• Advanced SQL skills, with the ability to write optimized queries and work with large datasets in Snowflake

• Extensive experience with building interactive dashboards using Power BI or similar BI tools, including advanced features like parameterized reports, custom visuals, and row-level security

• Experience in working with large datasets and optimizing BI queries for performance

• Strong understanding of data modeling concepts (e.g., star schema, snowflake schema)

• Hands-on experience and understanding of ETL/ELT workflows and familiarity with tools like Coalesce.io or Airflow

• Experience with Python or R for advanced analytics, exploratory data analysis (EDA), and data visualization – experience with Posit is a plus

• Familiarity with statistical techniques, such as regression analysis, clustering, and time-series forecasting is a plus

• Strong knowledge of data governance practices, including metadata management, data quality reporting, and associated tooling (e.g., Collibra)

• Strong problem-solving abilities and attention to detail

• Excellent communication and storytelling skills to deliver insights in a clear, impactful way to both technical and non-technical audiences

• Proven ability to manage competing priorities on complex projects, initiatives, and deliverables

• Familiarity with version control systems like Git and experience using collaboration tools such as Jira, Confluence, or Azure DevOps

The duties listed above are the essential functions, or fundamental duties within the job classification.  The essential functions of individual positions within the classification may differ. Texas Capital Bank may assign reasonably related additional duties to individual employees consistent with standard departmental policy.Texas Capital is an Equal Opportunity Employer.