Business Analyst (Contractual)

• 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,