Data Analyst, Finance Analytics

• Analytics experience: 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.

• Business and stakeholder collaboration: Ability to gather requirements, understand business questions, communicate analytical findings, and improve reporting solutions based on stakeholder feedback.

• 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.

• Analytical problem-solving: Strong diagnostic skills, sound judgment, and attention to detail, with the ability to investigate discrepancies and identify underlying causes.

• Communication and adaptability: Clear communication skills, a collaborative mindset, and the ability to manage changing priorities in a fast-paced environment.

• AI responsibility: Willingness to use AI thoughtfully and responsibly, maintaining accuracy, confidentiality, data integrity, and appropriate controls while improving productivity.

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.