Lead Business Analyst (Non-IT)

Strategic Staffing Solutions; San Antonio (TX); Vor Ort; USD 90.000 - 120.000; Vollzeit

Zusammenfassung

Strategic Staffing Solutions, Inc. is seeking a Lead Business Analyst to support data analysis, reporting, and process improvement across multiple workstreams. This role focuses on gathering data, establishing baselines, setting thresholds, and delivering leadership-level reporting.

The ideal candidate blends advanced analytics with strong business communication to translate complex questions into actionable insights, preferably with banking/fintech experience and credit-related data knowledge.

Qualifikationen

• Strong SQL and SAS hands-on data analysis and reporting skills.
• Proficient in data visualization to build dashboards and leadership-ready visuals.
• Advanced analytical and quantitative problem-solving abilities.

Aufgaben

• Lead complex business requirements gathering with stakeholders to define problems and data needs.
• Use SQL and SAS to query, extract, and analyze data from multiple sources.
• Develop BI solutions including dashboards, reports, and visualizations for leadership.
• Analyze metrics across workstreams and support baselining, thresholds, and alerts.

Kenntnisse

SQL

SAS

Data Visualization

Analytical thinking

Requirements gathering

Communication

Multiple data sources

Ausbildung

U.S. education background

Jobbeschreibung

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.