- Drive continuous process improvement initiatives to enhance operational efficiency, reporting accuracy, and business outcomes.
- Facilitate requirements workshops, stakeholder interviews, and discovery sessions with cross-functional teams and senior business leaders.
- Analyze, document, and validate business requirements, current-state processes, and future-state operating models.
- Translate business requirements into functional specifications, user stories, process flows, and testable acceptance criteria.
- Govern requirements throughout the project lifecycle to maintain consistency, traceability, and alignment across all levels.
- Develop and maintain business process maps, data flows, source-to-target mappings, and reporting relationships.
- Define KPI frameworks, business metrics, calculation logic, dimensions, filters, exception handling rules, and data-quality standards.
- Establish and maintain business glossaries, metadata repositories, data catalogs, and documentation standards.
- Advise stakeholders on optimal business and technology solutions, balancing business value, risk, scalability, and implementation considerations.
- Lead User Acceptance Testing (UAT) activities, including planning, test strategy, test case development, defect management, and business sign-off.
- Coordinate business participation during testing, deployment, release management, and post-implementation support activities.
- Collaborate closely with data engineering, analytics, architecture, and project delivery teams to ensure successful solution implementation.
- Mentor junior analysts and contribute to business analysis best practices, standards, and capability development.
- Provide strategic insights and recommendations to support continuous improvement and business innovation initiatives.
- Bachelor's Degree or Diploma in Computer Science, Information Systems, Engineering, Business Administration, or a related field.
- Significant experience as an IT Business Analyst, preferably in enterprise-scale data, analytics, or digital transformation projects.
- Proven experience leading business analysis activities across multiple initiatives and stakeholder groups.
- Experience working within Agile, Scrum, Waterfall, or hybrid project delivery methodologies.
- Demonstrated ability to manage competing priorities and deliver results in fast-paced, dynamic environments.
- Strong analytical, critical thinking, and problem-solving skills.
- Excellent stakeholder management and facilitation capabilities.
- Strong verbal and written communication skills, with the ability to communicate effectively across technical and non-technical audiences.
- Ability to influence decision-making and drive alignment among diverse stakeholder groups.
- Strong organizational, prioritization, and planning skills.
- Experience managing requirements from discovery through implementation and adoption.
- Proficiency in business process modeling, requirements management, and data analysis techniques.Strong understanding of reporting, KPI development, data governance, and data quality management.
- Experience using data analysis and visualization tools.
- Working knowledge of cloud-based data platforms and modern data architectures.Understanding of system integrations, APIs, and file-based interfaces.
Domain Expertise Requirements:
Finance (Strongly Preferred)
- General Ledger (GL)
- Profit & Loss (P&L) reporting
- Cost Centers
- Accounting Periods
- Accrual Management
- Financial Close Processes
- Reconciliation Activities
- SAP FI/CO knowledge strongly preferred
Sales (Strongly Preferred)
- Customer and Product Hierarchies
- Pricing and Trade Promotions
- Sales Orders and Order Management
- Trade Spend Management
- Sell-in and Sell-out Analysis
- Customer Profitability
- SAP SD and TPM knowledge strongly preferred
What Will Set You Apart:
- SAP tables and process knowledge within Sales, Finance, RD&E, or Sustainability domains.Databricks SQL or comparable cloud data platform experience.
- Experience with dbt documentation, testing, and data validation frameworks.
- Familiarity with data lineage and catalog solutions such as Unity Catalog.
- Understanding of API integrations and data exchange mechanisms.
- Experience leveraging AI-assisted delivery tools,