Data Analyst

Description

Who are we?

Checkmarx is the leader in application security and ensures that enterprises worldwide can secure their application development from code to cloud. Our consolidated platform and services address the needs of enterprises by improving security and reducing TCO, while simultaneously building trust between AppSec, developers, and CISOs. At Checkmarx, we believe it’s not just about finding risk but remediate it across the entire application footprint and software supply chain with one seamless process for all relevant stakeholders. 

We are honored to serve more than 1,800 customers, which includes 40 percent of all Fortune 100 companies including Siemens, Airbus, SalesForce, Stellantis, Adidas, Wal-Mart and Sanofi.

About the Role

We are looking for a proactive, analytical, and AI-curious Data Analyst to join our global Revenue Operations team. You will play a key role in elevating the quality of our master data, streamlining data processes, and supporting business-critical analysis. 

As part of a fast-paced and collaborative global team, you will help prepare and deliver high-impact reports and dashboards related to Customer Health, Pipeline Analysis, Pricing, Forecasting, and more. You will support the preparation of executive-level weekly decks and contribute to operational excellence by turning data into action.

This is your opportunity to make a direct impact on our go-to-market operations, helping drive decisions with clean, reliable, and intelligent data. You'll work alongside experienced analytics and RevOps professionals, with room to innovate and grow within a global tech organization. 

Responsibilities:

1.     Data Stewardship & Governance 

a.     Maintain and manage the quality, consistency, and documentation of master data. 

b.     Create and maintain data dictionaries and business glossaries. 

c.     Ensure compliance with internal data policies and regulatory requirements. 

2.     Data Quality & Automation 

a.     Define and monitor data quality metrics (completeness, accuracy, timeliness). 

b.     Identify and resolve anomalies, inconsistencies, and gaps in the data. 

c.     Build and improve automation processes to ensure scalable data validation and reporting. 

3.     Reporting & Business Analysis 

a.     Prepare weekly decks and dashboards across: 

•     Customer health scoring and engagement 
•     Pipeline health and progression trends 
•     Pricing intelligence and forecasting support 
•      Executive and operational business reviews 

b.     Translate data into clear, actionable insights for senior leadership. 

c.     Collaborate with internal stakeholders across Sales, RevOps, CS, Product , Marketing and Finance. 

Requirements

• Minimum 5 years of experience in data-related roles such as analytics, operations, governance, or business intelligence 
•  Expert-level Excel proficiency, including pivot tables, lookups, and complex formulas 

o  Microsoft Office Specialist (MOS) – Excel Expert certification required 

• Hands-on experience with BI tools (Power BI, Sisense, Tableau, etc.) 
• Strong knowledge of Salesforce (SFDC) 

o  Salesforce Certified Administrator certification - an advantage 

• Deep understanding of Gainsight, Sisense, and enterprise data architecture 
• Familiarity with AI tools and eagerness to apply them in business use cases 

o  OpenAI / ChatGPT API certification – an advantage 

• Exposure to cloud-based data ecosystems 

o  AWS Certified Data Analytics – Specialty – an advantage 

• Fast learner and autodidact – comfortable picking up new tools and tech quickly 
• Solid understanding of B2B sales processes and forecasting logic 
• Ability to read and interpret contracts and structured business content 
• Excellent communication skills in English (written and verbal) 
• Experience working in global, remote, cross-functional teams