Data Analyst

Cognyte

  • Λεμεσός
  • Μόνιμη
  • Πλήρης Απασχόληση
  • Μόλις τώρα
Description:For 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work to keep up with constantly evolving technological and criminal trends, and help make the world a safer place with leading investigative analytics software solutions.We are defined by our dedication to doing good, and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity.As a Cognyter you will:
  • Analyze large and complex datasets across departments (Sales, Marketing, Customer Success, etc.) to identify trends, issues, and actionable insights
  • Translate business needs into structured data analysis, delivering impactful dashboards, reports, and recommendations
  • Support strategic decision-making through business intelligence tools and data storytelling
  • Partner with cross-functional teams to drive data-driven initiatives across the organization
  • Collaborate with IT and GTM teams to evaluate current Salesforce (SFDC) usage, identify workflow gaps, and enhance CRM-related processes
  • Help design, document, and implement improvements in Salesforce to increase efficiency, automation, and data integrity
  • Act as a bridge between business and technical teams to ensure CRM updates meet operational needs
  • Maintain high data quality and governance standards within Salesforce
  • Provide user training and support change management for Salesforce process updates
Requirements:For that mission, you’ll need:
  • 3+ years of experience in a data analyst role with a strong focus on data-driven insights and CRM optimization
  • Hands-on experience with Salesforce.com (SFDC), including workflows, reports, dashboards, and data governance
  • Strong analytical and problem-solving skills with proficiency in Excel, SQL, and data visualization tools (e.g., Tableau, Power BI)
  • Excellent interpersonal and communication skills with the ability to collaborate with both technical and business stakeholders
  • High attention to detail and a passion for turning data into meaningful business outcomes
  • Fluent English (spoken and written); additional languages – an advantage
  • Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Economics, Computer Science, or similar); advanced degree – an advantage
Remember: When you're curious enough, you don't need to check every box to apply. Be in touch!

Cognyte