Sales Analytics Intern – Global Markets & Forecasting

Siemens Energy; Dubai; On-site; AED 39,000 - 61,000; Full time

Benefits offered by this job

Opportunities to work with a global团队

Opportunities to work on and lead avar

Continual learning through Learn@SiEM

Job summary

Siemens Energy is seeking a Sales Support Intern for the EAD Business Area, supporting the Middle East & Africa region. You will help keep Salesforce data accurate, build dashboards and reports, and prepare presentations that inform regional sales planning and forecasting.

You will work with regional sales teams, gain exposure to Power BI and CRM tools, and develop strong analytical skills while learning how to drive the energy transition through data-driven decisions.

Qualifications

• Bachelor’s degree in Business Administration, Engineering, Data Analytics, or related field.
• Strong analytical mindset with ability to challenge status quo.
• Good English written and verbal communication; capable of cross-country collaboration.

Responsibilities

• Maintain and improve Salesforce data quality across opportunities and forecasts.
• Build and maintain Salesforce dashboards and reports for regional forecasting.
• Prepare clear PowerPoint presentations on sales planning and pipeline status.
• Collaborate with regional sales teams to gather inputs and meet reporting deadlines.
• Suggest process improvements for sales reporting tools and workflows.

Skills

Analytical mindset

Attention to detail

Written and verbal communication

Education

Bachelor’s degree in Business Administration

Bachelor’s degree in Engineering

Bachelor’s degree in Data Analytics

Tools

Excel

PowerPoint

Salesforce

Power BI

Job description

Siemens Energy is seeking a Sales Support Intern for the EAD Business Area, supporting the Middle East & Africa region. You will help keep Salesforce data accurate, build dashboards and reports, and prepare presentations that inform regional sales planning and forecasting.

You will work with regional sales teams, gain exposure to Power BI and CRM tools, and develop strong analytical skills while learning how to drive the energy transition through data-driven decisions.