Business Analyst

Enzo Tech Group

Easton (Northampton County)

Hybrid

USD 100,000 - 140,000

Full time

10 days ago

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Job summary

Enzo Tech is seeking a Senior Business Analyst to bridge business stakeholders and AI/Data Engineering teams in a hybrid Easton, PA setting. This hands-on role focuses on turning complex challenges into actionable requirements and measurable outcomes.

You will partner with AI, data, product, and business teams to deliver AI, automation, and data-driven solutions, while shaping current/future state analyses, roadmaps, and KPIs for value realization.

Qualifications

  • Hands-on Business Analysis in complex enterprise tech environments.
  • Exposure to AI, GenAI, ML or intelligent automation initiatives.
  • Strong understanding of data concepts including SQL, ETL/ELT, data pipelines and data warehouses.
  • Experience creating user stories, acceptance criteria, BRDs/FRDs and UAT docs.

Responsibilities

  • Lead discovery and requirements workshops; translate business challenges into user stories and technical requirements.
  • Collaborate with AI, Data Engineering, Product and business teams to deliver AI, automation and data solutions.
  • Support current/future-state analysis, define roadmaps and measurable outcomes.
  • Identify AI / GenAI use cases with business value, feasibility and data needs.
  • Assist in data integrations, APIs, data flows, analytics and reporting for tech teams.
  • Support backlog refinement, UAT, validation and adoption.

Skills

Business Analysis
AI / GenAI
Data Engineering
SQL
ETL/ELT
Data Pipelines
Data Warehouses
Integrations
Stakeholder Management
Workshop Facilitation

Tools

Snowflake
Databricks
Power BI
SQL
Jira
Confluence
Azure DevOps

Job description

AI & Data Business Analyst | 12-Month Contract-to-Hire | Easton, PA

Enzo Tech is supporting a leading global manufacturing organisation that is continuing to build out its AI, Data & Digital Transformation capability.

We're looking for a Senior Business Analyst who can bridge the gap between business stakeholders and technical AI / Data Engineering teams. This is a hands‑on role for someone who can understand complex business problems, identify where AI, automation or data can add genuine value, and translate those opportunities into clear requirements and deliverable solutions.

Easton, PA – Hybrid (2 days onsite per week)
12-month contract-to-hire
What you'll be doing:
  • Lead discovery and requirements-gathering workshops, translating business challenges into user stories, acceptance criteria, process flows and technical/data requirements.
  • Partner closely with AI, Data Engineering, Product and business teams to identify and deliver practical AI, automation and data-driven solutions.
  • Support current-state / future-state analysis, helping define priorities, roadmaps and measurable business outcomes.
  • Identify and shape AI / GenAI use cases, assessing business value, feasibility, data requirements and risk.
  • Work across data integrations, APIs, data flows, analytics and reporting, helping technical teams understand what the business needs.
  • Support delivery through backlog refinement, UAT, validation, stakeholder sign‑off and adoption.
  • Help define KPIs, ROI and success measures to ensure AI and data initiatives deliver genuine business value.
What we're looking for:
  • Strong hands‑on Business Analysis experience within complex enterprise technology environments.
  • Practical exposure to AI, GenAI, Machine Learning or intelligent automation initiatives.
  • Strong understanding of Data / Data Engineering concepts such as SQL, ETL/ELT, data pipelines, data mapping, data warehouses and integrations.
  • Experience creating user stories, acceptance criteria, process maps, BRDs/FRDs and UAT documentation.
  • Strong stakeholder management and workshop facilitation skills.
  • Comfortable working directly with technical teams and getting into the detail when required.
  • Experience with technologies such as Snowflake, Databricks, Power BI, SQL, Jira, Confluence or Azure DevOps is highly desirable.
  • Manufacturing or enterprise transformation experience is beneficial but not essential.

We're particularly interested in people who are hands‑on problem solvers rather than purely strategic AI professionals. You should be able to demonstrate AI or data initiatives you've personally helped take from business problem → discovery → requirements → delivery → measurable outcome.

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