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Senior Business Data Analyst (Manufacturing Domain)

AIT Global, Inc.

Easton, Pennsylvania • Today

Easy Apply

Contract

Job Details

Skills

Data Analyst
BA

Summary

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10106248
Position Id: 2026-4439
Posted 1 day ago

Fitment

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Summary

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.
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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.

Dice Id: 10106248
Position Id: 2026-4439
Posted 1 day ago

Fitment

Dice Job Match Score™

🔢 Crunching numbers...

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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