Revenue Analyst in Paphos

Work Channel

  • Πάφος
  • Μόνιμη
  • Πλήρης Απασχόληση
  • Πριν 18 ημέρες
As a Revenue Analyst, you’ll play a pivotal role in assessing and optimizing our Fintech client’s revenue streams. You’ll analyze financial data, identify trends, and generate insights to inform strategic decisions. Additionally, you’ll collaborate cross-functionally to implement revenue-enhancing initiatives and ensure sustainable growth for the organization.Benefits:
  • Attractive Compensation: Competitive salary package aiming to retain top talent.
  • Vibrant Team Culture: Work with a dynamic, international team that values diversity and collaboration.
  • Comprehensive Health Benefits: Enjoy the peace of mind with a private health insurance & a provident fund.
  • Modern, Welcoming Workspace: Our pet-friendly office is nestled in the vibrant heart of Paphos, providing a comfortable and inspiring environment.
  • Engaging Social Events: Participate in regular team-building activities, events and lively happy hours.
  • Professional Development: Commitment to continuous career development and growth opportunities to help you achieve your professional goals.
about the roleRESPONSIBILITIES
  • Analyze revenue data to identify trends and opportunities for optimization.
  • Prepare reports and presentations to communicate findings and recommendations.
  • Monitor key performance indicators (KPIs) to track revenue performance and identify areas for improvement.
  • Conduct ad-hoc analysis to support business decision-making processes.
  • Assist in forecasting and budgeting processes to ensure revenue targets are met.
  • Provide insights and recommendations to the Finance Director to drive revenue growth and profitability.
basic information:REQUIREMENTS
  • Bachelor’s degree in Accounting, Finance, Data Analysis or related field.
  • Prior experience in revenue analysis or financial analysis roles.
  • Proficiency in Excel for data analysis and reporting.
  • Experience with Power BI, Tableau or similar data visualization tools.
  • Knowledge of Python is preferred.
  • Strong analytical skills with the ability to interpret complex financial data.
  • Familiarity with data analysis techniques and methodologies.
  • Excellent attention to detail and accuracy in financial reporting.

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