Specialist IS Business system analyst

Career Category Information Systems Job Description Specialist Business Systems Analyst – Manufacturing Data & Analytics   What You Will Do   Let’s do this. Let’s change the world.   In this vital role, you will apply manufacturing, data, and business-process expertise to translate business needs into clear product and system requirements. You will define epics, features, user stories, acceptance criteria, process maps, use cases, data requirements, and test scenarios that enable delivery teams to estimate, plan, and deliver with confidence.   The ideal candidate will work closely with manufacturing subject matter experts, process owners, data owners, Product Owners, developers, data engineers, architects, UX designers, and QA teams to ensure manufacturing data and analytics solutions meet business, functional, quality, and compliance expectations.   Roles and Responsibilities   Partner closely with manufacturing SMEs, process owners, data owners, and business stakeholders to understand operational processes, decisions, pain points, and information needs.   Lead workshops and interviews with SMEs to capture business rules, process variations, data definitions, exceptions, and acceptance criteria.   Translate SME knowledge into clear epics, features, user stories, process maps, use cases, data mappings, and test scenarios.   Capture the voice of the customer and translate business needs into product, process, data, and system requirements.   Facilitate the breakdown of epics into features and sprint-sized user stories.   Support product roadmaps, PI planning, backlog refinement, prioritization, and release planning.   Ensure functional and non-functional requirements are documented and prioritized in product and release backlogs.   Define manufacturing data, analytics, reporting, dashboard, KPI, and business-rule requirements.   Document data sources, mappings, transformations, calculations, validation rules, and reconciliation criteria.   Work with data engineers, architects, and analytics teams to ensure data products meet business needs.   Support data-quality analysis, lineage, reconciliation, issue resolution, and business validation.   Collaborate with UX/UI teams to align user journeys, process flows, requirements, and application designs.   Clarify requirements, resolve gaps, and facilitate alignment when SMEs or stakeholders have conflicting needs.   Validate proposed workflows, dashboards, data outputs, and application functionality with SMEs throughout design and development.   Develop functional, integration, regression, and user-acceptance test scenarios.   Validate delivered features against acceptance criteria, business rules, and customer expectations.   Support UAT by preparing test scenarios and data, coordinating SME and business-user participation, and documenting results.   Identify, document, prioritize, and track defects and work with delivery teams through resolution.   Collaborate with QA teams on test automation, performance validation, and release readiness.   Ensure SME feedback is incorporated throughout design, development, testing, UAT, and release preparation.   Develop and deliver product demonstrations for business, SME, and technical stakeholders.   Maintain accurate documentation of requirements, decisions, processes, user stories, and changes.   Use Jira, Confluence, and Agile delivery tools to manage requirements, backlogs, defects, and sprint activities.   Work within Agile and Scaled Agile environments to deliver incremental business value.   Identify opportunities to automate manual activities and improve requirements, testing, and delivery processes.   Mentor other analysts and promote consistent business-analysis standards and reusable practices.   Stay current with manufacturing, data, analytics, cloud, AI, and product-delivery trends.

Bachelor’s or Master’s degree and 8–13 years of experience in Computer Science,