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Data Analyst II

Frost

Salary not specified
Dec 4, 2025
San Antonio, TX, US
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Frost is looking to solve business problems by utilizing quantitative and qualitative analysis tools to provide data-driven insights that help the business achieve its strategic goals and priorities.

Requirements

  • Extensive experience with standard data analysis techniques such as regression, trend lines, forecasting, modeling, and clustering
  • Familiar with advanced data analysis techniques such as Hypothesis Testing, Monte Carlo Simulation, Content Analysis and Narrative Analysis
  • Proficient in at least one of each of the following: query languages, statistical languages, analysis software, and core data analysis systems
  • Familiar with database management systems (DBMS), schema development, and a variety of data types and structured data therein
  • Proficient in Microsoft office applications

Responsibilities

  • Collaborate with the line of business to understand the problem and create an analysis plan to leverage appropriate data analysis techniques to solve the problem
  • Employ advanced data analysis techniques, collect and organize data from internal and external data sources, and leverage and integrate datasets to perform complex analyses
  • Communicate data-driven insights to Product Teams, the line of business, and management, create data visualizations and scalable, logically consistent models
  • Ensure data integrity, maintain awareness of market and IT trends, and provide guidance to Data Analysts across the Enterprise while utilizing data findings and product knowledge to influence business strategy
  • Always take action using Integrity, Caring, and Excellence to achieve all-win outcomes

Other

  • Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, in a related field, or equivalent experience
  • Excellent written and verbal communication skills
  • 3+ years of experience as a Data Analyst (preferred)
  • Experience in the Financial Services industry (preferred)
  • Demonstrated experience in effectively presenting data-based insights and recommendations to all levels of stakeholders (preferred)