Financial Data Analyst

Looking for candidates that sit in the PST/PSD time zone. No C2C assistance of any kind at this time. Senior Business /Data Analyst- Corporate Finance Role Overview We are seeking an experienced Business / Data Analyst with deep expertise in Finance Analytics to serve as a bridge between key business stakeholders and technical data teams. In this role, you will act as a trusted advisor, partnering with finance leadership and operational teams to gather, refine, and translate complex financial requirements into scalable data and analytics solutions. The ideal candidate possesses a strong mastery of core SaaS/financial metrics (e.g., ARR, ACV, Revenue Recognition/Reporting), hands-on technical proficiency with SQL and data warehouse environments, and exceptional stakeholder management skills. Key Responsibilities Stakeholder Engagement & Advisory: Act as a primary liaison and trusted advisor to Finance leadership, Revenue Operations, and Strategic Planning teams. Facilitate discovery workshops to capture, synthesize, and refine business requirements and use cases into clear functional and technical specifications. Finance Domain & Metric Definition: Define, standardize, and document key financial performance indicators including ARR , ACV , Bookings , Recognized Revenue , Churn , and Expansion . Ensure consistency in metric logic, business rules, and reporting definitions across enterprise data platforms. Data Analysis & Requirements Translation: Perform deep-dive data exploratory analysis using SQL to validate assumptions, assess data quality, and map data flows. Translate high-level business goals into precise user stories, source-to-target data mappings, logic rules, and dashboard wireframes for engineering teams. Data Warehouse & Analytics Enablement: Collaborate with Data Engineering and BI teams to design efficient data models and dimensional frameworks within the Data Warehouse. Participate in User Acceptance Testing (UAT), validating output accuracy against core financial models before production release. Key Qualifications & Skills Finance Domain Expertise: Strong grasp of corporate finance and SaaS business metrics (ARR, ACV, Monthly/Annual Revenue Recognition, Net Retention Rate). Stakeholder Management: Exceptional communication, facilitation, and relationship-building skills; proven ability to guide business partners through requirement prioritization. Technical Proficiency: SQL: Strong hands-on experience querying large datasets, writing complex joins, aggregations, and data validation queries. Data Warehousing: Solid understanding of data warehouse concepts (dimensional modeling, star schemas, staging vs. reporting layers, Snowflake/Big Query/Redshift exposure). BI & Visualization: Familiarity with modern BI platforms (e.g., Tableau, Power BI, Looker) to prototype reports and model user flows. Problem Solving & Analytical Thinking: Ability to uncover root causes in data discrepancies and present structured, actionable solutions. Ideal Candidate Profile Experience: 8+ years in a Business Analyst, Data Analyst, or Analytics Consultant role focused specifically on Financial / Revenue Analytics. Education: Bachelor's degree in business Analytics, Finance, Computer Science, Information Systems, or a related quantitative field. The estimated pay range for this position is USD $60.00/Hr. - USD $70.00/Hr. Exact compensation and offers of employment are dependent on job-related knowledge, skills, experience, licenses or certifications, and location. We also offer comprehensive benefits. The Talent Acquisition Partner can share more details about compensation or benefits for the role during the interview process. #J-18808-Ljbffr