Data Architecture Consultant

Key Responsibilities

• Collaborate with FP&A stakeholders to gather, analyze, and document business requirements for business intelligence and analytics solutions.
• Translate complex financial planning concepts, including forecasting cycles, planning seasons, stress testing, P&L analysis, and balance sheet reporting into clear technical requirements.
• Serve as the primary bridge between business users and BI development teams, ensuring alignment between business objectives and technical deliverables.
• Facilitate requirement-gathering workshops, stakeholder interviews, and working sessions with finance and business teams.
• Develop and maintain comprehensive business and functional requirements documentation.
• Partner with Power BI developers to ensure dashboards, reports, and analytical solutions meet business expectations and timelines.
• Perform data validation, reconciliation, and quality assurance activities to support reporting accuracy.
• Cookordinate and support User Acceptance Testing (UAT), ensuring delivered solutions satisfy business requirements.
• Utilize SQL and Python to conduct data analysis, validation, prototyping, and exploratory investigations.
• Promote best practices in requirements management, stakeholder engagement, and BI solution delivery.
• Continuously improve documentation standards, processes, and methodologies for requirements gathering and solution development.

Required Qualifications

• 5-8 years experience in FP&A within banking, financial services, or a related finance environment.
• Strong understanding of financial planning processes, including forecasting, budgeting, planning cycles, and stress testing.
• 5 years solid knowledge of accounting principles, including: Profit & Loss (P&L) Statements, Balance Sheets, Income Statements, Financial performance reporting.
• Bachelor's degree in Finance, Accounting, Business, Data Analytics, Computer Science, or a related field, or equivalent professional experience.
• Hands-on experience with Power BI and business intelligence reporting solutions.
• Proficiency in SQL for querying, validating, and analyzing data.
• Working knowledge of Python for data analysis, exploration, and validation activities.
• Experience gathering, documenting, and translating business requirements into technical specifications.
• Strong communication, facilitation, and stakeholder management skills.
• Proven ability to work effectively with both business stakeholders and technical development teams.
• Experience supporting enterprise-scale BI or data analytics initiatives.
• Background in banking, risk management, or financial regulatory reporting.
• Experience with Agile delivery methodologies.
• Familiarity with data warehousing and enterprise data management concepts.