Lead Business Analyst (Non-IT)

Lead Business Analyst (Non-IT)

Job Description

We are seeking an experienced Lead Business Analyst to support business intelligence, data analysis, reporting, and process improvement initiatives. This role requires strong SQL and SAS skills, along with experience developing analytical solutions, gathering complex business requirements, and translating business problems into actionable insights.

The ideal candidate will have a strong background in data analysis and visualization, preferably within a large banking or fintech environment. Credit-related experience is a plus. Candidates should be comfortable working independently, partnering with business stakeholders and technical teams, and presenting analytical findings to leadership.

Key Responsibilities

• Analyze non-IT business problems and identify opportunities for process improvement.

• Gather and document complex business requirements by partnering with stakeholders to understand business objectives, problems, and data needs.

• Translate ambiguous business questions into structured analytical frameworks and actionable requirements.

• Develop frameworks for assessing financial impact and potential return on investment.

• Evaluate alternative solutions and provide data-driven recommendations.

• Document current-state and future-state processes, ensuring a shared understanding between business process owners and solution development teams.

• Use SQL and SAS to gather, query, transform, validate, and analyze data from multiple sources.

• Lead the development and implementation of business intelligence and advanced analytics solutions.

• Develop analytical infrastructure, reporting solutions, data transformation processes, and data collection capabilities.

• Apply data visualization best practices to identify trends, interpret patterns, and communicate findings through dashboards, reports, and other visual presentations.

• Select appropriate visualization tools based on business needs, usability, and the intended audience.

• Partner with IT execution and data engineering teams to support scalable data pipelines and reliable, high-quality analytical data.

• Collaborate on technical standards, governance practices, performance monitoring, and continuous improvement initiatives.

• Explore the use of Generative AI and Large Language Models (LLMs) in business intelligence and advanced analytics, while supporting responsible AI practices.

• Apply quantitative and analytical methods to develop conclusions, recommendations, and business solutions.

• Present findings, performance metrics, and recommendations to leadership.

Primary Focus Areas

• Building analytical reports and data visualizations.

• Gathering and analyzing data to support business metrics.

• Establishing performance baselines, thresholds, and alert targets.

• Monitoring trends and identifying opportunities for process improvement.

• Summarizing analytical findings and preparing leadership updates.

• Supporting multiple business workstreams through data-driven insights and reporting.

Required Skills

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

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

• Data Visualization Tools: Experience developing dashboards, reports, and visual presentations to communicate analytical findings.

• Strong business analysis and requirements-gathering experience.

• Ability to work with multiple data structures and sources.

• Strong quantitative, analytical, and problem-solving skills.

• Excellent written and verbal communication skills.

• Ability to translate complex business questions into structured analytical solutions.

Preferred Qualifications

• Full-time employment experience with a large bank, financial institution, or fintech organization.

• Credit-related business or analytical experience.

• U.S. educational background.

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

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

• Experience developing performance metrics, reporting frameworks, and executive-level presentations.

Top Three Skills

1. SQL

2. SAS

3. Data visualization / visual presentation tools

Ideal Candidate: A hands-on Lead Business Analyst with strong SQL and SAS capabilities, experience building reports and dashboards, and the ability to independently gather data, analyze business performance, establish metrics, and communicate recommendations to leadership. Banking or fintech experience is strongly preferred.