SGS Technologie
Business Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst with a contract length of "unknown," offering a pay rate of "$X per hour." It requires expertise in AI/ML concepts, AWS, data pipelines, and experience in financial services operations and compliance.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
December 19, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
St. Petersburg, FL
-
🧠 - Skills detailed
#Cloud #Data Engineering #ML (Machine Learning) #API (Application Programming Interface) #Business Analysis #Automation #Data Pipeline #Leadership #"ETL (Extract #Transform #Load)" #Compliance #AWS (Amazon Web Services)
Role description
Skill In:
Technical and Analytical Proficiency
Strong understanding of Al/ML concepts, particularly agentic and LLM-based architectures.
Familiarity with AWS cloud environments, data pipelines, and API-driven ecosystems.
Ability to interpret and validate outputs from frameworks such as Strands, CrewAI, LangGraph, and Agent Core in collaboration with engineers.
Experience working with structured and unstructured data, embeddings, and retrieval systems to support intelligent automation.
Business and Strategic Insight
Deep expertise in requirements analysis, process optimization, and value mapping across enterprise systems.
Strong ability to quantify business impact, model ROl, and articulate how Al systems drive competitive advantage.
Understanding of financial services operations, risk management, and compliance implications in production Al environments.
Leadership and Collaboration
Proven success leading multi-disciplinary teams across data, engineering, and governance functions.
Skilled in translating ambiguity into structure and clarity; comfortable operating at the intersection of innovation and regulation.
Exceptional written and verbal communicator capable of aligning senior stakeholders around transformative Al initiatives.
Skill In:
Technical and Analytical Proficiency
Strong understanding of Al/ML concepts, particularly agentic and LLM-based architectures.
Familiarity with AWS cloud environments, data pipelines, and API-driven ecosystems.
Ability to interpret and validate outputs from frameworks such as Strands, CrewAI, LangGraph, and Agent Core in collaboration with engineers.
Experience working with structured and unstructured data, embeddings, and retrieval systems to support intelligent automation.
Business and Strategic Insight
Deep expertise in requirements analysis, process optimization, and value mapping across enterprise systems.
Strong ability to quantify business impact, model ROl, and articulate how Al systems drive competitive advantage.
Understanding of financial services operations, risk management, and compliance implications in production Al environments.
Leadership and Collaboration
Proven success leading multi-disciplinary teams across data, engineering, and governance functions.
Skilled in translating ambiguity into structure and clarity; comfortable operating at the intersection of innovation and regulation.
Exceptional written and verbal communicator capable of aligning senior stakeholders around transformative Al initiatives.
