Senior Data Analyst, Strategic Finance

Accountabilities: • 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.

Requirements:

• 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.

Benefits:

• 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.

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