AI Supply Chain Business Analyst III
TekWissen LLC
N.Reading, MA
- Support development of dashboards, reporting tools, and AI-enabled process workflows that drive team efficiency and decision-making.
- Working cross-functionally with product managers, sourcing, planning, product, and engineering teams to enable supply chain initiatives.
- A successful candidate will combine foundational supply chain knowledge with strong data and analytics capabilities, contributing to operational execution.
- Design, build, and maintain operational dashboards and reports using Excel, Amazon Quick, and other BI tools to support team visibility into supply chain KPIs (e.g., lead time, cost, supplier readiness, shortage tracking.
- Execute and optimize AI-enabled process workflows, identifying opportunities to automate repetitive tasks, standardize reporting templates, and improve team throughput through tooling enhancements.
- Support cross-functional supply chain teams executing programs, serving as a resource for communicating supply chain status, decisions, and implications of program changes across sourcing, planning, logistics, engineering, and finance stakeholders.
- Contribute to cost reduction roadmaps and lead time optimization efforts by tracking total cost of ownership metrics and maintaining transparent, consistent reporting on progress.
- Support root cause analysis, post-launch design change coordination (ECOs), and continuous process improvement efforts to sustain operational excellence across the product lifecycle.
- Bachelor's degree in Supply Chain Management, Engineering, Business, Information Systems, or related field.
- 1+ years of experience in supply chain, operations, or a data/analytics-adjacent role.
- Proficiency in Excel (pivot tables, advanced formulas, data modeling) and at least one BI or reporting tool (e.g., Power BI, Tableau)
- Strong analytical skills with the ability to synthesize data from multiple sources into clear, actionable outputs.
- Demonstrated ability to build dashboards, trackers, or reporting tools used by cross-functional stakeholders.
- Effective written and verbal communication skills; ability to present data clearly to non-technical audiences.
- Ability to manage multiple priorities in a fast-paced, ambiguous environment.
- Experience with AI workflow tools, automation platforms, or process optimization
- 3+ years of experience in supply chain, operations, or a data/analytics-adjacent role
- Proficiency in data analysis tools (Excel, SQL, Python, or equivalent) with the ability to apply the right approach to the complexity of the problem
- Familiarity with supply chain concepts including lead time management, cost reduction, and supplier performance tracking
- Experience with ERP systems (Oracle, SAP) or PLM tools (Agile)
- Background in robotics, electromechanical systems, or technology-intensive supply chains
- Experience supporting NPI or GA supply chain programs in a cross-functional environment
- Demonstrated ability to identify process inefficiencies and implement scalable solutions
- Strong attention to detail with a continuous improvement mindset
- Time Savings for the rest of team from this work
- Ownership
- Bias for Action
- Excel, SQL, PowerBI
- Product Cost/ Supply Chain Analysis
- Professional Communication Skills(Written & Verbal)
About the Company
TekWissen LLC
WE THE TEKWISSEN PEOPLE
TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.
To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.
Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.
It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.
Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.