Analyze marketing data, generate insights, and collaborate with cross-functional teams to enhance campaign performance, customer segmentation, and ROI.
Requirements
- Proficiency in data analysis tools such as SQL, Python, R, or Excel (advanced).
- Experience with visualization tools like Tableau, Power BI, or Google Data Studio.
- Familiarity with marketing platforms (e.g., Google Analytics, HubSpot, Salesforce, or similar).
- Strong understanding of marketing metrics and KPIs (e.g., ROI, CTR, CPA, CLV).
- Experience with A/B testing and statistical analysis is a plus.
Responsibilities
- Collect, clean, and analyze large datasets from marketing campaigns and market trends.
- Develop and maintain dashboards and reports to track KPIs such as conversion rates, customer acquisition costs, and campaign performance.
- Provide actionable insights to optimize marketing strategies, including audience segmentation, A/B testing, and channel performance.
- Use statistical methods and predictive modeling to identify trends and opportunities for growth.
- Ensure data accuracy and integrity by implementing quality control measures.
- Present findings and recommendations to stakeholders in clear, concise reports and visualizations.
Other
- Experience in data analysis, preferably supporting marketing or advertising teams.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex data insights to non-technical stakeholders.
- Team player with strong collaboration and time-management skills.
- Bachelor’s degree in Data Science, Statistics, Marketing, Business Analytics, or a related field.
