Lead Business Analyst (Non-IT)

Lead Business Analyst (Non-IT)

Job Description

We are seeking a Lead Business Analyst to support business intelligence, data analysis, reporting, and process improvement initiatives across multiple workstreams. This role will focus on gathering and analyzing data, establishing performance baselines, defining thresholds and alert targets, and preparing leadership-level reporting.

The ideal candidate combines advanced analytical capabilities with strong business communication skills and the ability to translate complex business questions into actionable insights and recommendations. Experience in banking, financial services, or fintech environments is preferred, particularly with credit-related data.

Key Responsibilities

• Lead complex business requirements gathering by partnering with business stakeholders to define problems, identify data needs, and translate ambiguous questions into structured analytical requirements.

• Use SQL and SAS to query, extract, manipulate, validate, and analyze data from multiple sources.

• Develop and support business intelligence solutions, including dashboards, reports, data visualizations, and analytical deliverables.

• Gather and analyze metrics across multiple business workstreams.

• Support performance baselining, threshold development, alert targets, and ongoing metric monitoring.

• Identify trends, patterns, process gaps, and opportunities for improvement through quantitative analysis.

• Prepare concise summaries, insights, and recommendations for leadership updates.

• Document current-state and desired-state processes and develop requirements that align business stakeholders with technical and data execution teams.

• Partner with IT and data engineering teams on analytical infrastructure, data pipelines, data transformation, and data quality.

• Apply data visualization best practices to communicate findings clearly and effectively.

• Evaluate alternative solutions, assess potential financial payback, and recommend improvements.

• Support responsible AI practices and explore the application of Generative AI and large language models in analytics and business intelligence.

Required Skills

• SQL: Strong hands-on experience querying and analyzing data.

• SAS: Strong hands-on experience with SAS for data analysis and reporting.

• Data Visualization: Experience with visualization and reporting tools to develop dashboards, reports, and leadership-ready presentations.

• Advanced analytical and quantitative problem-solving skills.

• Ability to gather complex business requirements and translate business problems into analytical solutions.

• Strong written and verbal communication skills, including the ability to present findings to leadership.

• Experience working with multiple data structures and sources.

Preferred Qualifications

• Full-time experience working for a large bank, financial institution, or fintech organization.

• Credit-related business or analytical experience.

• U.S. educational background.

• Experience with data engineering, analytical infrastructure, scalable data pipelines, or business intelligence development.

• Familiarity with Generative AI, LLMs, and responsible AI practices.

• Experience supporting enterprise-level reporting, metrics, and process improvement initiatives.

Top Three Skills

1. SQL

2. SAS

3. Data visualization and reporting tools

Ideal Candidate Profile

A hands-on, data-oriented Business Analyst with strong SQL and SAS skills, preferably from a large bank or fintech company. This is not a traditional requirements-only Business Analyst role; candidates should be comfortable performing data analysis, developing reporting solutions, and communicating findings to business leadership.

articipate in gathering complex and unique business requirements by partnering with customers to define business problems and data needs, translating ambiguous business questions into structured analytical frameworks. * Utilize an advanced understanding of multiple data structures and sources to lead the development and implementation of business intelligence and advanced analytics solutions, including data visualization, data transformation, data collection, and leveraging Generative AI and Large Language Models (LLMs). * Strategically partner and work with IT execution teams and data engineering teams on the development of analytic infrastructures, data engineering, scalable data pipelines, and related business intelligence efforts, ensuring reliable, high-quality data for analytics solutions. * Collaborate on the design and implementation of technical standards, governance practices, process frameworks, performance monitoring, and continuous improvement, with a focus on responsible AI practices. * Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make recommendations to answer the business objective and drive the appropriate change. * Provide system thinking to influence relevant data, information, and application architecture decisions. Enable Skills-Based Hiring No Will candidate work onsite at a USAA campus or remote? Remote List the top three skills in order of importance and number of years of experience for each skill. SQL, SAS, visual presentment tools What are the top three technology tools this resource must have knowledge using? SQL, SAS, visual presentment tools Can you please provide a brief description of the daily duties using the technology tools above? Works on the development of analytic infrastructures, data engineering, or related business intelligence efforts. Applies data visualization best practices - often selecting the right data 'tool for the job' - to identify and interpret trends or patterns while following standard Enterprise branding. What are some job responsibilities specific to your team for this role? Works on the development of analytic infrastructures, data engineering, or related business intelligence efforts. Applies data visualization best practices - often selecting the right data 'tool for the job' - to identify and interpret trends or patterns while following standard Enterprise branding. Please provide any details that will be helpful for Supplier to find the right candidate for job. Support Member Friction deliverables for 2026. Building reporting, providing analysis, gathering data for the metrics, supporting baselining, thresholds, alert targets. Summarize information for leadership updates. Complete Member Friction deliverables for 2026 spanning 6 work streams; Freed up FTEs to support bill-pay issues arising from Good Funds Model migrations Will the worker be handling CSI (Confidential Supervisory Information)? No Will Supplier need to provide computer equipment for Worker? Yes Is this position Contract or Contract to Hire? Contract Winter Plan Need = BillingString = Legal Entity:USAA Federal Savings Bank (6017) Hours per Day:{8} Labor Type:{Business Professional} Available:0 Respond by Date:(No Value) Maximum Submissions per Supplier: 3