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Cognyte
Revenue Analyst
atĀ Cognyte
1 day ago | 13 views | Be the first one to apply

Revenue Analyst

Full-time
Bucharest, Europe

About the company

Cognyte is a global leader in investigative analytics software that empowers a variety of government and other organizations with Actionable Intelligence for a Safer Worldā„¢. Hundreds of customers in more than 100 countries rely on Cognyte solutions to accelerate and conduct investigations and derive insights, with which they identify, neutralize, and tackle threats to national security and address different forms of criminal and terror activities.

Job Summary

As a Cognyter you will:

šŸ“Analyze large and complex datasets across departments (Sales, Marketing, Customer Success, etc.) to identify trends, issues, and actionable insights šŸ“Translate business needs into structured data analysis, delivering impactful dashboards, reports, and recommendations šŸ“Support strategic decision-making through business intelligence tools and data storytelling šŸ“Partner with cross-functional teams to drive data-driven initiatives across the organization šŸ“Collaborate with IT and GTM teams to evaluate current Salesforce (SFDC) usage, identify workflow gaps, and enhance CRM-related processes šŸ“Help design, document, and implement improvements in Salesforce to increase efficiency, automation, and data integrity šŸ“Act as a bridge between business and technical teams to ensure CRM updates meet operational needs šŸ“Maintain high data quality and governance standards within Salesforce šŸ“Provide user training and support change management for Salesforce process updates

Requirements

For that mission, you’ll need: šŸ“3+ years of experience in a data analyst role with a strong focus on data-driven insights and CRM optimization šŸ“Hands-on experience with Salesforce.com (SFDC), including workflows, reports, dashboards, and data governance šŸ“Strong analytical and problem-solving skills with proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI) šŸ“Excellent interpersonal and communication skills with the ability to collaborate with both technical and business stakeholders šŸ“High attention to detail and a passion for turning data into meaningful business outcomes

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