FP&A analyst

Job Description

FP&A Analyst | Varonis

The Tone:
This is a full-time, hybrid role at Varonis, located in the New York area. Varonis is recognized as a leader in data security, employing a unique approach compared to conventional cybersecurity companies. Our platform, which is cloud-native, is designed to continuously discover and classify critical data, remove exposures, and detect advanced threats through AI-powered automation, ensuring data protection first. This FP&A Analyst position is a key addition to the finance team, instrumental in driving strategic decision-making across the entire organization. The role offers direct exposure to leadership, full ownership of critical reports and analyses, and a clear opportunity to directly influence business insights.

The TL;DR
• Role: Early Career
• Type: Full-time
• Location: Hybrid, New York, NY
• Pay: $80000–$100000 yearly
• Mission: Drive strategic decision-making across the organization through financial analysis and reporting.
• Tech Stack: Excel, Alteryx, Salesforce

What You’ll Actually Do
• Reporting: Produce weekly KPI reports, providing clear insights into business performance, trends, and variances.
• Support: Support the quarter-end process by preparing regional business reviews and management reporting packages.
• Analysis: Perform ad-hoc and exploratory analyses to support strategic initiatives and management decision-making.
• Automation: Build, improve, and automate reporting and analytical workflows using tools such as Excel, Alteryx, and Salesforce.
• Partnership: Partner with cross-functional teams, including Sales, Operations, and Leadership, to ensure alignment between financial performance and business objectives.

The Must-Haves
• Background: Bachelor’s degree in Finance, Economics, or a related field.
• Experience: 1–2 years of FP&A experience.
• Skills:
• Advanced proficiency in Excel, specifically for financial modeling, managing large data sets, and performing complex analysis.
• Strong presentation and communication skills, enabling comfortable and effective interaction with leadership.
• Highly responsible, detailed-oriented, and organized, demonstrating strong attention to details, follow-up, and time management skills.
• Ability to quickly learn new technologies and effectively leverage them to improve analytical processes, reporting, and business-driving decisions.
• Comfortable respectfully challenging assumptions and offering alternative perspectives, along with the ability to navigate ambiguity to develop thoughtful, data-backed analysis.
• Bonus: Experience ideally within a SaaS environment.