Senior Data Analyst, Strategic Finance

About Our Client

The organization operates in the cybersecurity and trust management industry, helping fast-growing companies continuously monitor, improve, and demonstrate their security posture. Its platform supports compliance with standards such as SOC 2, HIPAA, and ISO 27001 and enables thousands of organizations to build trust through transparent, real-time security practices.

About the Opportunity

The Senior Data Analyst, Strategic Finance provides analytical insights that support company-wide planning, forecasting, and strategic decision-making. This role combines strong data analysis skills with business and financial understanding to identify growth opportunities, improve reporting, and strengthen financial strategy. The position partners across Finance, Accounting, Revenue Operations, Product, Marketing, and Data teams to build scalable analytics and automation solutions.

Responsibilities

• Conduct in-depth financial and business analyses to generate strategic insights and recommendations.
• Partner with Finance, Accounting, Revenue Operations, Product, Marketing, and other teams as a technical and analytical resource.
• Translate complex datasets and analytical findings into actionable recommendations for business and financial decisions.
• Automate recurring financial reporting and deliverables to improve efficiency and scalability.
• Develop self-service dashboards, reporting solutions, and data tools that enable informed decision-making.
• Collaborate with Data Engineering and analytics teams to improve data accessibility, reliability, and quality.
• Identify opportunities to improve analytics infrastructure, reporting processes, and financial workflows.
• Support company-wide planning, forecasting, and strategic initiatives through data-driven analysis.

Requirements

• Minimum 4 years of experience in data analysis or an equivalent analytical role.
• Bachelor's degree in Data Analytics, Statistics, Informatics, Finance, Economics, Business, or a related field.
• Strong proficiency in SQL and data visualization platforms such as Tableau or Sigma.
• Experience working with large, complex datasets.
• Familiarity with dbt preferred.
• Strong analytical and problem-solving skills with the ability to identify meaningful insights and translate them into actionable strategies.
• Strong cross-functional collaboration and stakeholder management skills.
• Excellent written and verbal communication skills with the ability to explain analytical concepts to non-technical audiences.
• Authorized to work in the United States.
• Willingness to use AI tools responsibly to improve efficiency, analytical workflows, and business impact.

Pay and Compensation

Industry-competitive salary and equity compensation.