Senior Data Analyst, Strategic Finance

Remote U.S.full timeRemote

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senior

$133k–$156k

H1B: yes

Vanta The Senior Data Analyst, Strategic Finance at Vanta delivers strategic insights through deep analysis to inform financial decisions and supports cross-functional teams with data-driven recommendations. This role also focuses on automating workflows and advancing analytics infrastructure.

Responsibilities

Deliver strategic insights by conducting deep, prioritized analyses that inform high-impact financial decisions.
Act as a technical partner to teams across FP&A, Accounting, RevOps, Product, Marketing, and more.
Increase team efficiency by automating recurring deliverables and helping scale workflows as the company grows.
Empower decision-makers with self-service dashboards and data assets that surface trends and drive informed choices across the business.
Advance our analytics infrastructure by partnering with Data Engineering and other analytics teams to democratize access to high quality data and insights.
How to be successful in this role:
Experience: 4+ years of experience in data analysis or equivalent function. Exposure to FP&A, Accounting, or SaaS metrics is a plus.
Technical Skills: Strong proficiency in SQL and data visualization tools (e.g., Tableau, Sigma), with experience handling large and complex data sets. Familiarity with DBT is preferred. Bonus points for skill in Python for advanced analysis.
Analytical Thinking: Proven ability to analyze complex data sets, uncover key insights, and translate findings into actionable strategies that drive financial outcomes.
Collaboration: Demonstrated success working cross-functionally and building relationships across business teams. Comfortable engaging stakeholders with varying levels of data fluency.
Communication: Clear and effective communicator, both written and verbal. Skilled at presenting complex data insights to non-technical audiences.
Education: Bachelor’s degree in Data Analytics, Statistics, Informatics, Finance, Economics, Business, or a related field.

Qualification

Bachelor’s degree in Data AnalyticsMust be authorized to work in the UFamiliarity with DBTSkill in Python for advanced analysis

Required

4+ years of experience in data analysis or equivalent function
Strong proficiency in SQL and data visualization tools
Experience handling large and complex data sets
Bachelor’s degree in Data Analytics, Statistics, Informatics, Finance, Economics, Business, or related field
Must be authorized to work in the U.S.