Data Analyst, Finance Analytics

Role Overview

As a Data Analyst, Finance Analytics, you will help build trusted financial data foundations and turn complex business data into clear insights for Finance, Sales, Marketing, and Revenue Operations (RevOps). You will work across annual recurring revenue (ARR), retention, billing, and subscription metrics while helping create Artificial Intelligence (AI)-enabled reporting workflows that make decision-making faster and more reliable.

What You Will Do

You will build and iterate on interactive dashboards in Hex that help stakeholders explore financial and business performance. You will translate business questions into self-serve reporting and actionable analysis across ARR, paying customer accounts, retention, subscriptions, and related metrics.

Why It Might Be a Fit

You will contribute to trusted data models that support new pricing approaches, product lines, and evolving business models. You will support month-end, quarter-end, and financial reporting cycles by investigating variances, identifying drivers, and explaining why results changed.

Requirements

• Experience in analytics or a related data role, with proficiency in SQL, including joins, common table expressions (CTEs), window functions, and analysis of large datasets.
• Understanding of data modeling practices, including fact and dimension tables, star schemas, and related approaches to organizing reliable data.
• Ability to translate stakeholder questions into clear analytical deliverables, gather requirements, and improve dashboards based on feedback.
• Strong diagnostic and problem-solving skills, sound judgment, and careful attention to detail.
• Experience working with Finance, Sales, or Go To Market (GTM) data is a plus, especially in a Software as a Service (SaaS) environment, with familiarity with metrics such as annual recurring revenue (ARR), retention, subscriptions, or customer cohorts.
• Experience with BI or AI tools such as Hex, Claude Code, Cursor, or similar platforms is a plus; exposure to dbt and enterprise data sources such as Salesforce, Stripe, or NetSuite is also valuable.

Benefits

• Competitive health benefits
• Generous PTO policy
• RSU program for most employees
• Retirement matching program
• Free 1Password account
• Paid volunteer days
• Peer-to-peer recognition through Bonusly
• Remote-first work environment

Tagged as: Data Analysis