Job Description

Key Responsibilities:

• Assist in analyzing CRM data from multiple sources (e.g., C@P, dealership databases, campaign tools).
• Conduct data mining and segmentation to uncover customer behavior patterns, preferences, and trends.
• Support the development of dashboards and reports using tools such as Power BI, Tableau, or Excel.
• Clean, structure, and validate large datasets to ensure quality and consistency.
• Assist in evaluating campaign performance and customer lifecycle touchpoints.
• Collaborate with the CRM, Marketing, and Aftersales teams to support data-driven decision-making.
• Support the rollout and analysis of customer experience surveys across LATAM markets.

• Currently pursuing a Bachelor’s or Master’s degree in Business Analytics, Data Science, Marketing, Statistics, or a related field.
• Strong analytical and problem-solving skills.
• Proficiency in Excel; familiarity with SQL, Python, or R is a plus.
• Experience with BI tools (e.g., Power BI, Tableau) is desirable.
• Strong attention to detail and ability to work with large datasets.
• Excellent written and verbal communication skills in English; Spanish and/or French is a plus.
• Interest in the automotive industry and Porsche brand is a strong advantage.

What We Offer:

• Hands-on experience in a dynamic and international business environment.
• Exposure to the luxury automotive industry and CRM best practices.
• Opportunity to develop practical skills in data analytics, customer insights, and campaign analysis.
• Mentorship and collaboration with experienced professionals.

The hourly range for this role is $18/hr-$20/hr.

Physical requirements:

• Must be able to lift 15 pounds at times.
• While performing the duties of this job the employee is required to talk, hear, walk, sit, stand, climb stairs on occasion with prolonged periods of sitting at a desk and working on a computer.
• Must be able to effectively work and complete tasks in an open office/noisy environment.
• This job operates in an office environment. This role routinely uses standard office equipment such as computers, phones, cameras, photocopiers, and filing cabinets. The noise level in the work environment and job site can be loud.

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