Business Analyst II

Business Analyst IIThe Business Analyst II turns operational data, customer needs, and business questions into clear requirements, actionable insights, and effective digital capabilities. The role works primarily across two strategic initiatives: Customer Operations and Predictive Maintenance.This position is both internally focused and customer-facing. This role applies a strong analytical background, communicates a compelling story through data, and independently leads discovery for new AI-enabled development needs within defined workstreams. The Business Analyst II connects customers, business stakeholders, product leaders, data specialists, and engineering teams so that decisions and development priorities remain grounded in measurable business value.Core ResponsibilitiesPartner independently with customers and internal stakeholders to understand business objectives, operational workflows, pain points, decisions, and desired outcomes for defined workstreamsTranslate business needs into clear requirements, user stories, process flows, data requirements, acceptance criteria, and prioritized development workDefine key performance indicators, business rules, data definitions, and success measures in partnership with operational and technical stakeholdersFacilitate discovery sessions, requirements reviews, solution workshops, demonstrations, and validation sessions with technical and non-technical audiencesOwn traceability from customer need and business objective through requirement, delivery, validation, and adoption for assigned initiativesAnalyze operational, maintenance, product, and customer data to identify trends, relationships, anomalies, root causes, and improvement opportunitiesTurn complex analysis into a clear, concise story and present findings and recommendations at the level of detail appropriate to customers, leaders, product teams, and engineering partnersWork with data and product teams to shape dashboards, reports, visualizations, alerts, and decision-support experiences that are intuitive and actionableAssess data completeness, quality, consistency, and usability; document limitations, recommend practical next steps, and coordinate resolution with data ownersServe as a trusted analytical partner in customer meetings, translating operational questions into data-driven investigations and development prioritiesCoordinate decisions, dependencies, risks, assumptions, and follow-up actions across workstreams; support user acceptance testing, release readiness, customer feedback, adoption planning, and post-release evaluationUse modern AI tools responsibly to accelerate analysis and lead discovery for additional AI-enabled capabilities by clarifying users, decisions, required data, and expected business outcomesPartner with data science, data engineering, software engineering, and product teams to convert approved AI opportunities into prioritized requirements and testable acceptance criteria and evaluate outputs for relevance, accuracy, explainability, operational fit, and risk