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