Senior Financial Data Analyst

Company Description

About CyberArk:
CyberArk (NASDAQ: CYBR), is the global leader in Identity Security. Centered on privileged access management, CyberArk provides the most comprehensive security offering for any identity – human or machine – across business applications, distributed workforces, hybrid cloud workloads and throughout the DevOps lifecycle. The world’s leading organizations trust CyberArk to help secure their most critical assets. To learn more about CyberArk, visit our CyberArk blogs or follow us on Twitter, LinkedIn or Facebook.

Job Description

CyberArk is seeking a Senior Financial Data Analyst to join our global FP&A team. In this role, you will work to provide analysis of current and past trends along with financial forecasting and long-term modeling. The Senior Financial Data Analyst will work closely with partners in GTM, Data and Finance departments to highlight business performance, improve processes, and drive automation. This is a fantastic opportunity to join a dynamic, high-growth environment and have an immediate impact by providing valuable insights that will support the Company’s strategic decisions. CyberArk has experienced significant growth and is a data-driven company. 

Responsibilities:

• Analysis & modeling of key metrics (ARR waterfall, Churn, Cashflow, Bookings) to support Management strategic planning and decision making. 

• Collaborating with Business and Data partners to ascertain data integrity, enhance reporting capabilities through automation and prediction. 

• Strategic and long-term modeling of KPIs.

• Participate in quarterly results’ data validation & reporting to management. Support data & analysis requests from stakeholders. 

• Proactively identifying business trends, summarizing insights and effectively communicate findings to the Finance and senior leadership teams.

• Manage & enhance data validation, fostering automation and new development for automated reports in Tableau. 

#LI-OC1

Qualifications

• A quick learner with highly analytical skills, and a proactive problem-solving mindset. 

• 5+ years of experience in financial data analysis, modeling and forecasting – preferably from an established SaaS business. 

• Bachelor’s degree in quantitative business-oriented field such as Economics, Industrial Engineering, Business etc. 

• High-level of experience with SQL & MS Excel; BI visualization tool (in particular Tableau) is an advantage.

• Excellent communication and interpersonal skills with a high level of commitment and motivation. 

• Good business and financial understanding. Ability to prepare, analyze and interpret financial analysis and reports. 

• Enterprise software experience – advantage.

• Experience in project management, or proven leadership skills. 

• Good systems aptitude and familiarity with CRM, ERP & Planning software (ERP systems, Salesforce, Tableau, NetSuite).

• Very accurate, precise, and organized, with attention to detail.

• Able to meet tight deadlines and multitask.