Lead Business Analyst – Data & Analytics (SQL, SAS, Generative AI)

Strategic Staffing Solutions; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Strategic Staffing Solutions seeks a Lead Business Analyst with strong SQL/SAS and Generative AI capabilities to analyze complex problems and translate requirements into data-driven solutions.

The role involves collaborating with stakeholders, IT and data engineering to design analytics frameworks, improve data quality, and deliver BI initiatives across data collection, transformation, visualization, and reporting.

Qualifications

• Strong hands-on knowledge of SQL and SAS.
• Knowledge of Generative AI and Large Language Models (LLMs) and their application to analytics or business intelligence.
• Experience gathering, documenting, and translating complex business requirements.
• Strong analytical, quantitative, and problem-solving skills.
• Understanding of data structures, data sources, and business intelligence solutions.
• Experience supporting data analysis, data transformation, data collection, or data visualization.
• Ability to assess business processes, identify improvement opportunities, and recommend solutions.
• Excellent written and verbal communication skills.
• Ability to collaborate effectively with business stakeholders, IT teams, and data engineering teams.
• Strong attention to detail and ability to manage complex analytical initiatives.

Responsibilities

• Lead requirements-gathering efforts with stakeholders to define business problems, objectives, and data needs.
• Translate ambiguous business questions into structured analytical frameworks and actionable requirements.
• Analyze non-IT business problems and identify opportunities for process improvement.
• Use SQL and SAS to support data analysis, business intelligence, and advanced analytics.
• Leverage Generative AI and LLMs to support analytical solutions and business intelligence initiatives.
• Lead the development and implementation of business intelligence solutions involving data collection, transformation, visualization, and reporting.
• Work with multiple data structures and sources to develop reliable, high-quality analytical solutions.
• Partner with IT and data engineering teams on analytical infrastructure, scalable data pipelines, and business intelligence initiatives.
• Apply data visualization best practices to identify trends, interpret patterns, and communicate insights effectively.
• Evaluate alternative solutions, make recommendations, and develop frameworks to assess financial payback and business value.
• Document current-state and desired-state processes, business requirements, and improvement opportunities.
• Establish a shared understanding of business needs and expected outcomes across stakeholders and solution development teams.
• Contribute to technical standards, governance practices, process frameworks, and performance monitoring.
• Support continuous improvement with a focus on responsible AI practices.
• Apply quantitative and analytical methods to develop recommendations and actionable business solutions.
• Use systems thinking to inform data, information, and application architecture decisions.

Skills

SQL

SAS

Generative AI

LLMs

Job description

Lead Business Analyst – Data & Analytics (SQL, SAS, Generative AI)

Location Preferences:

• Phoenix, AZ

Position Type: Contract

Position Overview

We are seeking an experienced Lead Business Analyst to analyze complex business problems, gather and translate business requirements, and develop data-driven solutions that support business intelligence, advanced analytics, and process improvement.

This role requires strong SQL and SAS skills, along with knowledge of Generative AI and Large Language Models (LLMs). The successful candidate will collaborate with business stakeholders, IT teams, and data engineering teams to define business needs, develop analytical frameworks, improve data quality, and deliver effective analytics solutions.

The ideal candidate combines strong analytical and communication skills with the ability to lead complex requirements‑gathering efforts, evaluate alternative solutions, and make recommendations that drive measurable business improvements.

Key Responsibilities

• Lead requirements‑gathering efforts with stakeholders to define business problems, objectives, and data needs.
• Translate ambiguous business questions into structured analytical frameworks and actionable requirements.
• Analyze non‑IT business problems and identify opportunities for process improvement.
• Use SQL and SAS to support data analysis, business intelligence, and advanced analytics.
• Leverage Generative AI and LLMs to support analytical solutions and business intelligence initiatives.
• Lead the development and implementation of business intelligence solutions involving data collection, transformation, visualization, and reporting.
• Work with multiple data structures and sources to develop reliable, high‑quality analytical solutions.
• Partner with IT and data engineering teams on analytical infrastructure, scalable data pipelines, and business intelligence initiatives.
• Apply data visualization best practices to identify trends, interpret patterns, and communicate insights effectively.
• Evaluate alternative solutions, make recommendations, and develop frameworks to assess financial payback and business value.
• Document current‑state and desired‑state processes, business requirements, and improvement opportunities.
• Establish a shared understanding of business needs and expected outcomes across stakeholders and solution development teams.
• Contribute to technical standards, governance practices, process frameworks, and performance monitoring.
• Support continuous improvement with a focus on responsible AI practices.
• Apply quantitative and analytical methods to develop recommendations and actionable business solutions.
• Use systems thinking to inform data, information, and application architecture decisions.

Required Qualifications

• Strong hands‑on knowledge of SQL and SAS.
• Knowledge of Generative AI and Large Language Models (LLMs) and their application to analytics or business intelligence.
• Experience gathering, documenting, and translating complex business requirements.
• Strong analytical, quantitative, and problem‑solving skills.
• Understanding of data structures, data sources, and business intelligence solutions.
• Experience supporting data analysis, data transformation, data collection, or data visualization.
• Ability to assess business processes, identify improvement opportunities, and recommend solutions.
• Excellent written and verbal communication skills.
• Ability to collaborate effectively with business stakeholders, IT teams, and data engineering teams.
• Strong attention to detail and ability to manage complex analytical initiatives.

Preferred Qualifications

• Professional experience working within a large bank, financial institution, or fintech organization.
• Experience with credit‑related business processes or credit analytics.
• U.S. educational background.
• Experience supporting advanced analytics, data engineering, or scalable data pipelines.
• Familiarity with data governance, responsible AI practices, technical standards, and performance monitoring.
• Experience evaluating business solutions and communicating analytical findings to stakeholders.
• SQL
• SAS

Ideal Candidate

The ideal candidate combines SQL and SAS expertise with emerging AI capabilities to solve complex business problems. They can lead requirements discussions, interpret data, collaborate with technical teams, and translate analytical findings into clear recommendations that improve business outcomes.

Experience in banking, financial services, fintech, or credit‑related analytics is highly desirable.