Senior Business Analyst

• 6+ years of experience as a Business Analyst, preferably with a proven track record in a Product Owner role, driving scope, ownership, opportunity prioritization, and stakeholder influence.

• Demonstrated AI fluency, including the ability to leverage generative AI, Copilot technologies, and intelligent automation to improve business analysis, requirements management, QA, testing, and decision support.

• Proficient in SQL, Power BI, and moderate-level database management, with experience using AI/ML concepts, Copilot, and automation tools to improve analytics delivery, testing, and stakeholder decision-making.

• Strong understanding of data governance practices, promoting continuous improvement of source data, and ensuring datasets are AI-ready.

• Exceptional analytical capabilities, with a focus on problem framing, requirement interpretation, and developing strategic action plans that deliver effective outcomes, including AI-driven solutions.

• Knowledge of Agile principles and practices, with proven experience writing features and user stories, defining acceptance criteria, and leading sprint planning and backlog refinement.

• Experience validating enterprise reporting solutions, datasets, semantic models, KPIs, and business logic, with a strong focus on data accuracy, reconciliation, UAT, and stakeholder acceptance.

• Commitment to delivering high-quality, highly accurate results within strict timelines.

• Comfortable leading initiatives in fast-paced, data-centric, and complex environments, integrating AI and automation in daily processes.

• Bachelor’s degree in Business, Computer Science, or a related field (or equivalent professional experience).

• Experience in industries such as SaaS, hospitality, manufacturing, retail, or finance where enterprise systems play a critical role

• Lead stakeholder engagements to define business strategies, gather high-level requirements, and translate them into actionable insights, technical specifications, and process flows.

• Champion an AI-native approach to business analysis by using AI-enabled tools to improve requirements gathering, documentation, testing, analysis, stakeholder engagement, and delivery speed.

• Identify practical AI, automation, and advanced analytics use cases, translating them into actionable features, user stories, acceptance criteria, and measurable business outcomes.

• Act as the primary triage agent for the data ticket queue, managing assignments through Azure DevOps.

• Serve as a primary contributor to quality assurance for data products, including reports, dashboards, datasets, semantic models, KPIs, calculations, data transformations, and integrations.

• Validate business requirements against delivered analytics solutions, ensuring data accuracy, metric consistency, usability, completeness, and alignment to business intent before release.

• Partner with engineers to oversee the successful delivery of complex projects.

• Collaborate with cross-functional teams to gather, document, and implement data-driven improvements.

• Partner with engineers to design, validate, test, and continuously improve Power BI reports, dashboards, semantic models, and datasets, ensuring trusted, accurate, and actionable business insights.

• Leverage knowledge of ERP and CRM data to conduct in-depth data analysis, identify opportunities, and drive process optimizations.

• Identify and contribute to data governance initiatives championing source data improvements.

• Serve as Scrum Master facilitating daily stand-ups, refinements, sprint planning, and retrospectives.

• Collaborate with stakeholders to prioritize features, enhancements, and data initiatives that support strategic objectives.

Interview #1: Video Screen with Talent Acquisition Team

Interview #2: Video interview with the Hiring Manager (via MS Teams)

Interview #3: Video interview with the Team (via MS Teams)

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