Business Analyst

Strategic Staffing Solutions, Inc.; San Antonio (TX); On-site; USD 80,000 - 120,000; Full time

Job summary

Strategic Staffing Solutions, Inc. seeks a Business Intelligence Analyst for a 14-month contract opportunity in the US, focusing on complex business problems, intelligent data solutions, and scalable analytics. You will work with stakeholders, IT, and data teams to deliver data-driven results.

The role emphasizes strong SQL/SAS, Generative AI usage, and clear communication to translate business needs into analytics that boost performance.

Qualifications

• Strong SQL skills.
• Strong SAS skills.
• Experience leveraging Generative AI and Large Language Models (LLMs).
• Experience gathering complex business requirements and translating problems into analytical solutions.
• Experience with BI solutions, including data visualization, transformation, and collection.
• Understanding of multiple data structures and data sources.
• Experience with analytic infrastructures, data engineering, or related BI initiatives.
• Knowledge of data visualization best practices, prototyping, usability, and end-user experience.
• Strong analytical and quantitative problem-solving skills.
• Ability to collaborate with business stakeholders, IT execution teams, and data engineering teams.

Responsibilities

• Analyze non-IT business problems and articulate requirements for process improvement.
• Develop frameworks for assessing financial payback and evaluating solutions.
• Identify potential solutions and provide recommendations based on business needs.
• Prepare documentation of current and desired business processes.
• Gather complex business requirements by partnering with customers to define data needs.
• Translate ambiguous business questions into structured analytical frameworks.
• Develop requirements and establish a shared understanding between owners and developers.
• Assess process performance and identify opportunities for improvement.
• Lead BI solutions involving data visualization, transformation, and collection.
• Leverage Generative AI and LLMs in analytics solutions.
• Partner with IT and data engineering to develop analytic infrastructures and scalable data pipelines.
• Apply data visualization best practices to identify trends within branding standards.
• Incorporate prototyping, usability, and end-user experience into dashboards and reports.
• Collaborate on standards, governance, and continuous improvement initiatives.
• Support responsible AI practices in analytics development.
• Apply quantitative approaches to derive business recommendations.
• Influence architecture decisions and ensure reliable data for analytics.

Skills

SQL

SAS

LLMs

Requirements gathering

BI solutions

Data visualization

Data transformation

Data collection

Analytical thinking

Communication

Stakeholder collaboration

Governance

Prototyping

Job description

STRATEGIC STAFFING SOLUTIONS HAS AN OPENING!

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C eligibility for this position. Visa Sponsorship is Available! The details are below.

“Beware of scams. S3 never asks for money during its onboarding process.”

Job Title: Business Analyst
Location: Plano, TX; San Antonio, TX; Phoenix, AZ
Contract Length: 14 Months

Position Summary

Seeking a Business Intelligence Analyst with strong SQL and SAS skills and experience leveraging Generative AI and Large Language Models (LLMs) to develop business intelligence and advanced analytics solutions.

This role focuses on analyzing non-IT business problems, identifying process improvement opportunities, gathering complex business requirements, and developing data-driven solutions that support business objectives.

The position requires strong analytical, technical, and communication skills, with the ability to partner with business stakeholders, IT execution teams, and data engineering teams to deliver scalable analytics solutions.

Key Responsibilities

• Analyze non-IT business problems and articulate requirements to support process improvement opportunities.
• Develop frameworks for assessing financial payback and evaluating alternative solutions.
• Identify potential solutions and provide recommendations based on business needs.
• Prepare documentation of current and desired business processes.
• Gather complex business requirements by partnering with customers to define business problems and data needs.
• Translate ambiguous business questions into structured analytical frameworks.
• Develop requirements and establish a common understanding between process owners and solution developers.
• Assess process performance and identify opportunities for improvement.
• Lead the development and implementation of business intelligence solutions involving data visualization, data transformation, and data collection.
• Utilize multiple data structures and sources to support business intelligence and advanced analytics initiatives.
• Leverage Generative AI and Large Language Models (LLMs) in analytics solutions.
• Partner with IT execution and data engineering teams to develop analytic infrastructures, scalable data pipelines, and related business intelligence solutions.
• Apply data visualization best practices to identify and interpret trends and patterns while following enterprise branding standards.
• Incorporate prototyping, usability, and end-user experience considerations into dashboards, reports, insights, and analytical products.
• Collaborate on technical standards, governance practices, process frameworks, performance monitoring, and continuous improvement initiatives.
• Support responsible AI practices in the development and implementation of analytics solutions.
• Apply innovative scientific and quantitative analytical approaches to draw conclusions and make business recommendations.
• Influence data, information, and application architecture decisions through systems thinking.
• Support reliable, high-quality data for analytics solutions.

Required Qualifications

• Strong SQL skills.
• Strong SAS skills.
• Experience leveraging Generative AI and Large Language Models (LLMs).
• Experience gathering complex business requirements and translating business problems into analytical solutions.
• Experience with business intelligence solutions, including data visualization, data transformation, and data collection.
• Understanding of multiple data structures and data sources.
• Experience with analytic infrastructures, data engineering, or related business intelligence initiatives.
• Knowledge of data visualization best practices, prototyping, usability, and end-user experience.
• Strong analytical and quantitative problem-solving skills.
• Ability to assess business processes and identify process improvement opportunities.
• Strong written and verbal communication skills.
• Ability to collaborate with business stakeholders, IT execution teams, and data engineering teams.
• Understanding of technical standards, governance practices, process frameworks, and continuous improvement.
• Ability to influence data, information, and application architecture decisions.

Preferred Qualifications

• Full-time employment experience within large banks or fintech organizations.
• Credit experience.
• U.S. education.