Data Analyst

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Analyst, Strategic Finance based in the United States.

• Conduct deep, prioritized analyses that uncover strategic insights and inform high-impact financial and business decisions.
• Serve as a technical and analytical partner to Finance, FP&A, Accounting, RevOps, Product, Marketing, and other cross-functional teams.
• Translate complex datasets into clear recommendations that support planning, forecasting, investment decisions, and scalable growth.
• Build self-service dashboards, reporting solutions, and reusable data assets that empower stakeholders to make informed decisions independently.
• Identify opportunities to automate recurring financial and analytical deliverables, improving efficiency and scalability as the organization grows.
• Work with large and complex datasets to identify trends, performance drivers, risks, and opportunities.
• Partner with Data Engineering and analytics teams to improve data quality, accessibility, and the overall analytics infrastructure.
• Help democratize access to trusted data and insights across business functions.
• Communicate analytical findings clearly to both technical and non-technical audiences, adapting the level of detail to the stakeholder.
• Build strong relationships with stakeholders and establish trust through reliable analysis, thoughtful recommendations, and consistent delivery.
• Contribute to process improvements and innovative approaches that increase the impact and efficiency of the Finance Data function.
• Use AI thoughtfully and responsibly to accelerate analysis, automate workflows, and strengthen the quality and impact of your work.

• 4+ years of experience in data analysis, business intelligence, financial analytics, or an equivalent analytical function.
• Experience or exposure to FP&A, Accounting, SaaS metrics, or strategic finance is a strong advantage.
• Strong proficiency in SQL, with experience working with large and complex datasets.
• Hands-on experience with data visualization and business intelligence tools such as Tableau, Sigma, or comparable platforms.
• Familiarity with dbt is preferred, with Python experience for advanced analysis considered a plus.
• Strong analytical and problem-solving abilities, with a demonstrated capacity to identify meaningful insights within complex datasets.
• Ability to translate analytical findings into practical strategies and recommendations that influence financial and business outcomes.
• Proven experience working cross-functionally and building productive relationships with stakeholders across different business functions.
• Strong communication skills, both written and verbal, with the ability to explain complex data and financial concepts to audiences with varying levels of data fluency.
• Strong business judgment, attention to detail, and an ability to prioritize high-impact analytical work.
• Bachelor’s degree in Data Analytics, Statistics, Informatics, Finance, Economics, Business, or a related discipline, or equivalent relevant experience.
• Must be authorized to work in the United States.
• Curious and open-minded about using AI to amplify analytical capabilities, improve efficiency, and strengthen the quality of work, with sound judgment around responsible AI use.
• Comfortable operating in a dynamic, high-growth environment where priorities can evolve quickly and analytical work has significant business visibility.

• Competitive base salary of $133,000–$156,000, depending on qualifications, experience, location, and other relevant factors.
• Equity opportunities.
• Comprehensive medical, dental, and vision coverage, with employee-only premiums fully covered for most medical plans.
• Matching 401(k) contribution with immediate vesting.
• 16 weeks of paid parental leave for all new parents.
• Health and wellness stipend.
• Remote workspace, internet, and cellphone stipend.
• Family planning benefits.
• Flexible PTO policy plus 80 hours of sick time.
• 11 company-paid holidays.
• Commuter benefits for employees working from designated office locations.
• Virtual team-building activities, lunch-and-learns, and company-wide events.
• Remote-first flexibility with access to offices in San Francisco, New York City, London, Dublin, Tel Aviv, and Sydney.
• Inclusive, collaborative environment with opportunities to work alongside teams across Finance, Data, Product, Marketing, and Revenue Operations.
• Opportunity to influence company-wide strategy through data and develop expertise in strategic finance and analytics.