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Senior Business Data Analyst (Manufacturing Domain)

AIT Global, Inc.Easton, PA🇺🇸United StatesPosted 11 Sept 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Easton, PA, United States
Posted
17 hours ago
Machine LearningPower BI

Job Description

Job Title: Senior Business Data Analyst (Manufacturing Domain)
Location: Easton, PA
Job Overview:
  • Should have Manufacturing domain expertise.
  • Proven track record delivering Data Warehousing, Data Lake, Master Data Management, Analytics, or Data Product initiatives.
  • Experience leading data discovery and business process analysis engagements.
Must have skills:
  • Minimum 7 years of experience as a Business Analyst.
  • Analytics, Data Analysis & Interpretation (Strong).
  • Manufacturing / Automation domain experience.
Roles & Responsibilities:
  • Organize and facilitate Design Thinking and Discovery workshops with business stakeholders.
  • Understand the client's business goals, technology landscape, product roadmap, organizational structure, and key stakeholders.
  • Elicit, analyze, and document business requirements into functional and non-functional specifications.
  • Break down problem statements and create clear logical and functional flows.
  • Analyze data to draw business-relevant insights and create data visualizations using tools like Power BI.
  • Maintain a prioritized backlog on the use cases agreed upon with stakeholders.
  • Define and track acceptance criteria, critical success factors, and ROI for each use case.
  • Identify areas for optimization and enhancement throughout the project lifecycle.
  • Proactively engage stakeholders through workshops, POCs, and proposals to deliver additional business value.
  • Engage with business teams to understand what data they create and consume Data sources and origins.
  • How data supports business decisions Current manual data preparation and challenges.
  • Act as a consultant and trusted advisor, guiding stakeholders on data product best practices and opportunities.
  • Identify, define, and prioritize data products based on business value, enterprise reuse, and cross-functional impact.
  • Document business, functional, and data requirements, including user stories and acceptance criteria.
  • Work with Data Architects, Data Engineers, and business teams to translate business needs into scalable data solutions.
  • Define data product ownership, stewardship, and governance requirements.
  • Create and maintain a Data Product Catalog, including business definitions, use cases, and success metrics.
  • Analyze business processes to identify opportunities for reporting, analytics, automation, AI, and machine learning enablement.
  • Facilitate stakeholder alignment and prioritization across multiple business functions.
  • Drive adoption of standardized, trusted, and reusable data products across the organization.
  • Track business value realization, user adoption, and continuous improvement opportunities.
  • Ensure data products support multiple teams and business processes while maintaining quality and governance standards.

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