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We are looking for a sales analyst who can help us improve our sales performance by providing data-driven insights and recommendations. The sales analyst should be a proficient data analyst who can create and manipulate large data sets, visualize, and present data effectively, and automate repetitive tasks. The sales analyst should also be a good communicator who can work with various stakeholders, from senior management to individual sales team members, and persuade them with clear and compelling arguments.


  • Coordinate the budgeting and forecasting process: Work with the TM, LSC, and Areas to develop sales forecasts and budgets for the region, based on historical data, market trends, and other relevant factors.
  • Analyse budget and forecast data: Identify any discrepancies, trends, or areas where adjustments may be needed in the budget and forecast data.
  • Present budget and forecast data: Present the budget and forecast data to senior management and other stakeholders in a clear and concise manner, highlighting key insights and areas of concern.
  • Provide insights through dashboards: Create and maintain dashboards that show sales performance, market shares, and commodity mix, and identify areas for improvement.
  • Monitor performance: Monitor sales performance in the region on an ongoing basis, comparing actual results to the budget and utilization, and identify any deviations that may require corrective action.
  • Conduct sales performance evaluations: Evaluate individual sales team members’ performance against established metrics and identify opportunities for improvement.
  • Sales incentive: Analyze sales data to determine the criteria for earning incentives, such as sales volume, revenue, or contribution margins.
  • Provide recommendations: Based on the budget and forecast data, provide recommendations on how to optimize sales performance in the region, such as adjusting pricing strategies or any other segmentations.

Required Skills:

  • Ability to create and manipulate large data sets using advanced Excel functions.
  • Proficient in data visualization and analysis through Excel charting and/or Power BI.
  • Capability to automate repetitive tasks and generate reports using Excel’s VBA programming language.
  • Proficient in organizing and sorting large data sets through data cleansing and filtering.
  • Ability to generate forecasts and statistical analysis using Excel’s data analysis tools.


Mit einer Flotte von 258 modernen Containerschiffen und einer Gesamttransportkapazität von 1,9 Millionen TEU ist Hapag-Lloyd eine der weltweit führenden Linienreedereien. Das Unternehmen ist mit rund 14.000 Mitarbeitenden an Standorten in 135 Ländern mit knapp 400 Büros präsent. Hapag-Lloyd verfügt über einen Containerbestand von 2,9 Millionen TEU – inklusive einer der größten und modernsten Kühlcontainerflotten. Weltweit 115 Liniendienste sorgen für schnelle und zuverlässige Verbindungen zwischen mehr als 600 Häfen auf allen Kontinenten. Hapag-Lloyd gehört in den Fahrtgebieten Transatlantik, Mittlerer Osten, Lateinamerika sowie Intra-Amerika zu den führenden Anbietern.

Contact person

Galina Prokhina HR Advisor, RME