Senior Data Analyst, Strategic Finance

Overview

This Senior Data Analyst role on the Finance team supports company-wide planning, forecasting, and strategic decision-making. The position combines analytical rigor with technical skills and business understanding to deliver data-driven insights and recommendations.

Finance Data partners with Finance and other teams to build trust in data and influence decisions ranging from operating plans and investment priorities to self-serve reporting and process automation. Collaboration with stakeholders is central, including presenting insights to audiences with varying levels of data fluency.

Responsibilities

• Conduct deep, prioritized analyses to deliver strategic insights that inform high-impact financial decisions.
• Partner technically with teams across FP&A, Accounting, RevOps, Product, Marketing, and more.
• Increase team efficiency by automating recurring deliverables and scaling workflows as the organization grows.
• Enable decision-makers with self-service dashboards and data assets that surface trends and support informed choices.
• Improve analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high-quality data and insights.

Requirements

• 4+ years of experience in data analysis or an equivalent function.
• Exposure to FP&A, Accounting, or SaaS metrics is a plus.
• Strong proficiency in SQL and data visualization tools (e.g., Tableau, Sigma) and experience working with large, complex data sets.
• Familiarity with DBT is preferred.
• Bonus points for Python skills for advanced analysis.
• Proven ability to analyze complex data sets, uncover key insights, and translate findings into actionable strategies that drive financial outcomes.
• Demonstrated cross-functional collaboration and the ability to build relationships across teams.
• Comfortable engaging stakeholders with varying levels of data fluency.
• Clear and effective written and verbal communication, including presenting complex insights to non-technical audiences.
• Bachelor’s degree in Data Analytics, Statistics, Informatics, Finance, Economics, Business, or a related field.
• Must be authorized to work in the U.S. without the need for current or future employer sponsorship.
• Open to using AI to amplify skills and strengthen work, with curiosity, a willingness to learn, and sound judgment in applying AI responsibly.

Preferred Qualifications

• Familiarity with DBT
• Python skills for advanced analysis

Compensation & Benefits

• Industry-competitive salary and equity
• Comprehensive medical, dental, and vision coverage, with 100% of employee-only benefit premiums covered for most medical plans
• 16 weeks paid Parental Leave for all new parents
• Health & wellness stipend
• Remote workspace, internet, and cellphone stipend
• Commuter benefits for team members who report to the SF and NYC office
• Family planning benefits
• Matching 401(k) contribution with immediate vesting
• Flexible PTO policy, plus 80 hours of Sick Time
• 11 company-paid holidays
• Virtual team building activities, lunch and learns, and other company-wide events

Base pay range transparency (US roles): base pay ranges are shared for all US-based job postings regardless of state. Standard base pay ranges are set based on function, level, and country location, benchmarked against similar-stage growth companies. Final offer amounts are determined by multiple factors and may vary based on candidate location, skills, depth of work experience, and relevant licenses/credentials.

Location

Remote. Commuter benefits are available for team members who report to the SF and NYC office.

(Offices listed in SF, NYC, London, Dublin, Tel Aviv, and Sydney.)

Equal Opportunity

The organization is committed to hiring diverse talent and provides an inclusive work environment. It does not discriminate based on race, gender identity, age, religion, sexual orientation, veteran or disability status, or any other protected class. People of all backgrounds are encouraged to apply.