Data Architecture Consultant
Why This Role Stands Out
This remote Data Architecture Consultant role offers an exciting opportunity to shape financial reporting and analytics solutions, directly impacting strategic decision-making within a reputable financial services firm. You'll thrive here if you have a strong background in FP&A and excel at bridging the gap between business needs and technical development, making this a fantastic chance to advance your expertise. Apply today to leverage your skills in this impactful position!
Quick Overview
Job Description
Title: Senior Data Analyst (Business Intelligence Requirements Lead – FP&A)
Duration: 6 months
Location: Remote
Description
We are seeking a highly skilled Data Architecture Consultant to serve as a Business Intelligence (BI) Requirements Lead within the Finance organization. This role will act as the key liaison between FP&A stakeholders and BI development teams, ensuring reporting and analytics solutions effectively support financial planning, forecasting, and decision-making processes. The ideal candidate will possess strong expertise in Financial Planning & Analysis (FP&A) within a banking or financial services environment, combined with experience gathering business requirements, translating financial concepts into technical specifications, and supporting the delivery of Power BI reporting solutions.
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.
- Coordinate 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.
Key Competencies
- Business Analysis & Requirements Management
- Financial Planning & Analysis (FP&A)
- Stakeholder Engagement
- Business Intelligence & Reporting
- Data Validation & Quality Assurance
- Problem Solving & Critical Thinking
- Communication & Facilitation
- Power BI, SQL, and Python
- Cross-Functional Collaboration
- Financial & Accounting Acumen
Skills
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