Marketing Analyst

About the Role

Our client is seeking a detail-oriented and analytical Marketing Analyst to join their team in Nelspruit . This role is crucial for measuring the effectiveness of marketing campaigns, identifying trends, and providing data-driven insights to guide marketing strategy. You will work closely with various marketing functions to interpret data, generate reports, and make recommendations for optimization. This hybrid position offers the chance to contribute to impactful marketing decisions within a supportive team environment in Nelspruit .

Key Responsibilities

• Collect, clean, and analyze marketing data from various sources (e.g., web analytics, CRM, campaign reports).
• Develop and maintain dashboards and reports to track key marketing performance indicators (KPIs).
• Interpret data to identify trends, patterns, and insights related to campaign effectiveness, customer behavior, and market dynamics.
• Provide actionable recommendations to the marketing team for campaign optimization and strategic planning.
• Conduct market research and competitor analysis to support strategic decision-making.
• Collaborate with marketing stakeholders to understand their data needs and provide relevant insights.

Requirements

• Bachelor's degree in Marketing, Statistics, Economics, Mathematics, or a related analytical field.
• 1-3 years of experience in a marketing analysis or data analysis role.
• Proficiency in data analysis tools such as Excel, SQL, and familiarity with business intelligence software (e.g., Tableau, Power BI).
• Experience with web analytics platforms like Google Analytics.
• Strong quantitative and qualitative analytical skills.
• Excellent communication and presentation skills, with the ability to translate complex data into clear insights.

Benefits

• Competitive annual salary.
• Hybrid work arrangement offering flexibility.
• Comprehensive health and wellness benefits.
• Opportunities for career growth and professional development.
• A collaborative team environment focused on data-driven success.

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