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SkillNet Solutions Inc logo

Business Analyst / Business Consultant-B2B Commerce

SkillNet Solutions Inc
Posted 7 hours ago
🌍Probably Worldwide🏠Remote📁Operations & Admin
Is this job info correct?

Position Summary SkillNet Solutions is hiring a Business Analyst / Business Consultant to lead discovery and requirements definition for complex B2B ordering and commerce implementations. This role sits at the center of our client engagements — running discovery workshops directly with client stakeholders, translating business needs into functional requirements, and partnering closely with technical delivery teams through build and deployment. The ideal candidate has hands-on experience with B2B commerce platforms and a strong grasp of the ordering complexity found in made-to-order, engineered-to-order, industrial manufacturing, wholesale distribution, and life sciences environments. Key Responsibilities Lead client-facing discovery workshops to elicit, challenge, and validate B2B commerce and ordering requirements across sales, operations, and IT stakeholders. Translate complex B2B ordering scenarios — configured products, contract pricing, quote-to-order workflows, approval hierarchies, and account-based catalogs — into clear, structured functional requirements. Partner directly with technical architects and delivery teams to ensure requirements are implementable, and remain engaged through design, build, and testing to resolve ambiguity as it surfaces. Produce discovery deliverables including current-state/future-state process maps, functional requirements documents, user stories, and gap/fit analyses against the target platform. Advise clients on B2B commerce best practices specific to their industry — made-to-order and engineered-to-order configuration logic, industrial distribution ordering patterns, wholesale account structures, or life sciences compliance and ordering constraints. Support solution scoping and estimation during presales, including SOW input and workshop planning for prospective engagements. Identify downstream risks or scope gaps early and escalate proactively to engagement leadership. Required Experience 5+ years as a Business Analyst or Business Consultant on B2B commerce or B2B ordering platform implementations. Direct, hands-on experience with at least one of the following platforms: Spryker, Shopify (Plus/B2B), SAP Commerce Cloud, Kibo, or a comparable enterprise B2B commerce platform. Demonstrated experience leading client discovery workshops independently, including agenda design, stakeholder facilitation, and synthesis of findings into requirements. Proven track record developing functional requirements in close, ongoing collaboration with a technical delivery team — not requirements handed off and forgotten. Domain exposure to at least one of: made-to-order or engineered-to-order manufacturing, industrial manufacturing/distribution, wholesale, or life sciences commerce. Strong working knowledge of B2B commerce constructs: complex pricing and contracts, punchout/procurement integration, account hierarchies, approval workflows, and configure-price-quote (CPQ) concepts. Excellent written and verbal communication skills, with the ability to operate credibly in front of client VP- and director-level stakeholders. Preferred Qualifications Experience across more than one of the named platforms (Spryker, Shopify, SAP Commerce, Kibo). Prior consulting or systems-integrator experience, versus in-house/brand-side only. Familiarity with ERP integration points relevant to B2B ordering (SAP, Oracle, NetSuite, or similar). Exposure to Agile delivery methodologies and backlog/user story management tooling (Jira, Azure DevOps). Prior experience supporting presales activities — discovery-stage scoping, SOW input, or solution estimation. Engagement Details Reports into SkillNet's Client Engagement organization (Strategic Consulting / Global Presales). Client-facing role with travel as required by active engagements. Immediate start — candidate should be available to begin an active client discovery engagement with minimal ramp time.

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