TransPecos Banks
Informatics Specialist/Data Analyst Job at TransPecos Banks in San Antonio
TransPecos Banks, San Antonio, TX, US
Job Title: Data Analytics Specialist
This position is an on-site assignment based in San Antonio.
The Data Analytics Specialist leverages foundational data analytics skills to extract meaningful insights from diverse datasets and provide actionable recommendations that support informed decision-making. This position contributes to organizational success through data-driven analysis, collaboration, and continuous learning.
Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Data Analysis and Interpretation: This includes tasks such as performance analysis, process optimization, forecasting, trend identification, and risk evaluation. Develop and maintain standardized reports, dashboards, and visualizations using tools such as Excel, SQL, Tableau, or similar platforms. Process Improvement: Identify opportunities to streamline organizational processes, optimize data collection and analysis methodologies, and automate reporting tasks. Proactively suggest and implement innovative solutions to enhance efficiency and effectiveness within the data analytics function.
• Cross-functional Collaboration: Collaborate with stakeholders across different departments, including finance professionals, risk managers, and senior management, to understand their data needs and provide analytical support. Collaborate on strategic initiatives, leveraging data insights to contribute to the achievement of departmental and organizational goals.
• Carries out responsibilities in a manner consistent with our values and operating principles, in accordance with policy and applicable laws, and with a commitment to continuous improvement and process excellence.
• Organizational Structure:
Reports to: Manager, Data Analytics
Bachelor's degree in finance, Accounting, Economics, Statistics, or related fields
Proficiency in data analysis tools such as Excel, SQL, Python, R, or similar platforms.
• Solid understanding of statistical modeling concepts and experience in financial forecasting and scenario analysis.
• Strong communication and presentation skills, with the ability to convey complex financial information to both technical and non-technical stakeholders.
• Detail-oriented mindset with a commitment to data accuracy and integrity.
• Knowledge of data governance principles, data management best practices, and regulatory compliance related to data analytics is advantageous.
• Experience in data analytics, preferably within the finance or banking industry. Knowledge of banking products, financial statements, and regulatory requirements is highly desirable.
Naturally pre-disposed to quickly establish positive personal and professional relationships.