Sr. Data Analyst #99961

99961 Title: Sr. Data Analyst Location: Remote but must be local to Illinois and can work in CST Type: Contract Hours: 9-5 M-F Pay: exactly $69.36/hour on w2 (no flex, max rate) Length: 6 months-potential to extend Screenings: no tech, full panel drug and background once hired IV process: 2 rounds (virtual) +optional benefits, long term contract with ability to extend 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 Position Overview We are seeking a highly skilled Senior Data Analyst 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.