Senior Staff Consultant - Senior Business Data Analyst (Manufacturing)

Nagarro•Easton, PA

4d•Hybrid

About The Position

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Role - Senior Business Data Analyst (Manufacturing) Location - Easton, PA 18040 Working Model - Onsite - Hybrid (3 days work from office) Employment type - Fulltime 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.

Requirements

Minimum 7 years of experience as a Business Analyst.
Analytics, Data Analysis & Interpretation (Strong).
Manufacturing / Automation domain experience.

Nice To Haves

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.

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.