Financial Analyst - ARR

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Key Responsibilities

ARR Data Quality

  • Own and maintain ARR data governance standards, definitions, and documentation to ensure consistency across systems and reporting sources

  • Identify, investigate, and resolve data quality issues impacting ARR metrics; partner with IT, GTM Operations, and Sales to drive root cause resolution

  • Establish and monitor data validation controls, reconciliation processes, and audit trails to support data integrity

Reporting & Dashboards

  • Collaborate on the development and maintenance of ARR reporting packages, dashboards, and scorecards for finance leadership and business partners

  • Build and maintain data quality monitoring dashboards that track completeness, accuracy, and consistency of ARR data across source systems, flagging anomalies for timely resolution

  • Translate complex data into clear, actionable insights through visualizations and written commentary

Data Analysis

  • Conduct ad hoc and recurring analysis of ARR trends including net new ARR, churn, expansion, and contraction

  • Support variance analysis and commentary, identifying drivers of ARR performance versus plan and prior periods

  • Partner with the broader FP&A team on ARR inputs for forecasting, budgeting, and strategic planning cycles

Cross-Functional Process Alignment

  • Collaborate with GTM Operations, Customer Success, Data Governance, and Data Strategy teams to align on ARR definitions, policies, and downstream data flows

  • Participate in process improvement initiatives related to ARR data infrastructure, lead-to-cash workflows, and system implementations (e.g., Adaptive Planning)

  • Serve as a subject matter expert on ARR data for business partners across the organization

Qualifications :Required

  • Bachelor's degree in Finance, Economics, Data, or a related field

  • 24 years of experience in FP&A, Sales Operations, financial analysis, or a data-focused finance role

  • Strong proficiency in Salesforce CRM, including pipeline management, reporting, and data governance

  • Advanced Excel skills and proficiency in SQL for data extraction and analysis

  • Experience with Power BI or similar BI/visualization tools

  • Solid understanding of SaaS revenue metrics, particularly ARR, MRR, churn, and net revenue retention

  • Strong attention to detail with a demonstrated ability to manage and reconcile large datasets

Preferred

  • Familiarity with additional CRM/data quality tools (e.g., DemandTools, RingLead, HubSpot)

  • Experience with Power Query or similar data transformation tools

  • Comfort working alongside AI tools for data analysis or automation, with an interest in expanding those capabilities

  • Experience working in a global, matrixed organization

  • Background supporting QBRs or executive-level reporting with variance analysis and narrative development

Competencies

  • Analytical Thinking – Comfortable working through complex, ambiguous data problems and presenting findings clearly

  • Collaboration – Builds strong working relationships across finance and non-finance teams

  • Attention to Detail – Maintains a high standard for data accuracy and process discipline

  • Communication – Translates technical data concepts into business-relevant language for diverse audiences

  • Continuous Improvement – Proactively identifies opportunities to streamline processes and improve data qualityRole & responsibilities

Preferred candidate profile

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