

Ampstek
Business Analyst (AI / Analytics Exposure)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Analyst (AI / Analytics Exposure) in Columbus, OH, on a W2 contract. Requires 10+ years of BA experience, strong Agile skills, and knowledge in AI concepts, including machine learning and NLP.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 9, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Columbus, Ohio Metropolitan Area
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🧠 - Skills detailed
#Requirements Gathering #Classification #Supervised Learning #Stories #Data Science #ML (Machine Learning) #NLP (Natural Language Processing) #Agile #Unsupervised Learning #AI (Artificial Intelligence) #Business Analysis
Role description
Job Title : Business Analyst (AI / Analytics Exposure)
Location : Columbus, OH ( onsite )
Duration: Contract on W2
Job Description ::
Core BA Skills
• 10+ years of experience as a Business Analyst / Techno Functional BA.
• Strong experience in:
o Requirements gathering
o Stakeholder management
o Agile delivery (user stories, backlog grooming)
AI / Analytics Exposure (Must Have)
• Working knowledge of:
o Machine Learning concepts (supervised/unsupervised learning)
o NLP / LLM use cases (chatbots, summarization, classification)
o Predictive & descriptive analytics
o Agentic AI frameworks
o AI assisted SDLC tools
• Experience working alongside:
o Data scientists
o AI engineers
o Analytics teams
• Ability to translate AI outputs into business friendly insights.
Note: Hands on model building is not mandatory, but conceptual clarity and applied usage is expected.
Job Title : Business Analyst (AI / Analytics Exposure)
Location : Columbus, OH ( onsite )
Duration: Contract on W2
Job Description ::
Core BA Skills
• 10+ years of experience as a Business Analyst / Techno Functional BA.
• Strong experience in:
o Requirements gathering
o Stakeholder management
o Agile delivery (user stories, backlog grooming)
AI / Analytics Exposure (Must Have)
• Working knowledge of:
o Machine Learning concepts (supervised/unsupervised learning)
o NLP / LLM use cases (chatbots, summarization, classification)
o Predictive & descriptive analytics
o Agentic AI frameworks
o AI assisted SDLC tools
• Experience working alongside:
o Data scientists
o AI engineers
o Analytics teams
• Ability to translate AI outputs into business friendly insights.
Note: Hands on model building is not mandatory, but conceptual clarity and applied usage is expected.






