Data Analyst III

About the Role

Frost is seeking a Data Analyst III to apply both qualitative and quantitative analytical methods to generate insights that support strategic business objectives. This role demands a problem-solving mindset, a passion for leveraging data, and collaboration across business units to deliver actionable outcomes. Joining Frost means becoming part of a legacy bank with over 150 years of service excellence and a commitment to a respectful, values-driven workplace.

Key Responsibilities

• Partner with business units to fully understand challenges and devise analysis plans that utilize suitable data and analytical approaches.
• Guide stakeholders on selecting and monitoring key performance indicators to measure solution effectiveness.
• Aggregate and manage data from both internal and external sources, integrating diverse datasets to execute complex analyses.
• Apply sophisticated analytical techniques to address business questions and propose actionable recommendations.
• Provide data-driven guidance to product teams, business lines, and management to support informed decision-making.
• Lead the end-to-end development of business intelligence reporting solutions, including data visualization for clear stakeholder communication.
• Build scalable and logically structured models adaptable across various enterprise projects.
• Stay current on market and IT trends to enhance analytical methods and bolster competitive and risk analyses.
• Ensure the integrity of data through rigorous validation, anomaly detection, and optimization of data acquisition practices.
• Identify and implement automation opportunities to streamline routine ad-hoc data analysis tasks.
• Mentor and lead other Data Analysts throughout the organization.
• Conduct all activities with integrity, care, and a commitment to excellence, aiming for mutually beneficial outcomes.

Candidate Requirements

• Bachelor’s degree in Data Science, Statistics, Mathematics, Economics, or a related discipline, or comparable experience.
• Broad experience with both standard and advanced analytical methods, including regression analysis, forecasting, modeling, clustering, hypothesis testing, Monte Carlo simulation, content, and narrative analysis.
• Proficiency in multiple query and statistical programming languages and data analysis tools.
• Hands-on experience with database management systems, schema design, and working with various structured data types.
• Proven ability to present data insights effectively to all organizational levels.
• Strong written and verbal communication skills.
• Skilled in Microsoft Office applications.

Preferred Skills

• Background in Financial Services sector.
• Experience handling data from multiple channels including mobile, web, call centers, face-to-face interactions, and market data.
• Familiarity with Agile methodologies.

Benefits

• Comprehensive medical, dental, vision, long-term disability, and life insurance coverage.
• Employer-matched 401(k) plan.
• Generous paid holiday and time off programs.
• Tuition reimbursement opportunities.
• Robust health and wellness programs, including an Employee Assistance Program.
• Employee referral incentives and other rewards.