Data Analyst, Finance Analytics

Develop financial dashboards and reporting: Build, maintain, and enhance interactive dashboards that help stakeholders understand financial and business performance, identify trends, and make informed decisions.
Partner with internal stakeholders to understand analytical needs and deliver self-service reporting and actionable analysis across ARR, paying customer accounts, retention, subscriptions, and customer cohorts.
Strengthen financial data foundations: Contribute to reliable data models that support evolving pricing strategies, new product lines, and changing business models while maintaining consistent definitions for key metrics.
Support financial reporting cycles: Assist with month-end and quarter-end reporting by investigating variances, identifying performance drivers, and explaining changes in financial results.
Use AI tools and automation to reduce repetitive manual tasks, improve spreadsheet-based processes, and increase the speed and reliability of reporting.
Improve data quality and governance: Collaborate with Analytics Engineering to productionize reporting sources, validate data, resolve discrepancies, and maintain trusted analytical datasets.
Present findings, incorporate stakeholder feedback, and work closely with Finance, Sales, Marketing, Revenue Operations, and Data Analytics teams to ensure reporting meets business needs.
Identify opportunities to refine dashboards, optimize analytical processes, and introduce more efficient, scalable approaches to financial analysis and reporting.

Previous experience in data analytics or a related analytical role, with the ability to investigate complex datasets and translate findings into clear, actionable recommendations.
Strong SQL proficiency: Hands-on experience writing SQL queries using joins, common table expressions (CTEs), window functions, and other techniques to analyze large datasets.
Data modeling knowledge: Understanding of data modeling principles, including fact and dimension tables, star schemas, and methods for building consistent, reliable data structures.
Financial and SaaS analytics: Experience working with Finance, Sales, or go-to-market data is an advantage, particularly in a SaaS environment. Familiarity with ARR, subscriptions, retention, billing, and customer cohort analysis is beneficial.
Business intelligence and AI tools: Familiarity with analytics and AI platforms such as Hex, Claude Code, Cursor, or comparable tools is an asset, along with an interest in applying AI to improve analytical workflows.
Data platform exposure: Experience with dbt and enterprise data sources such as Salesforce, Stripe, or NetSuite is considered an advantage.
AI responsibility: Willingness to use AI thoughtfully and responsibly, maintaining accuracy, confidentiality, data integrity, and appropriate controls while improving productivity.
Equity compensation: Equity grant, with participation in applicable incentive programs.
Comprehensive health insurance, including medical, dental, and other benefits.
Retirement savings: Generous paid time off to support rest and personal commitments.
Remote-first work: Flexibility to work remotely from within the United States, with occasional travel for team gatherings and in-person collaboration as required.
Professional growth: Opportunities to develop analytical expertise, explore AI-enabled workflows, and contribute to impactful projects in a collaborative environment.
Recognition and community: Access to a complimentary password manager account and a culture that values transparency, collaboration, continuous learning, and individual contributions.


Accountabilities

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Data Analyst, Finance Analytics based in the United States.
Join a fast-growing cybersecurity organization dedicated to making the digital world safer while helping businesses work more productively. As a Data Analyst, Finance Analytics, you will transform complex financial and business data into actionable insights that support strategic decision-making. You will collaborate with Finance, Sales, Marketing, Revenue Operations, and Data Analytics teams to build reliable reporting solutions and strengthen financial data foundations. Your work will focus on key business metrics, including annual recurring revenue (ARR), customer retention, subscriptions, and billing performance. You will also leverage AI-powered tools and automation to streamline reporting, improve data quality, and accelerate analytical workflows. This remote opportunity is ideal for a curious, detail-oriented professional who enjoys solving challenging problems and turning data into meaningful business outcomes.
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