Navan
- תל אביב - יפו
We are in search of a detail-oriented and analytical Marketing Data Analyst to join our team in Navan. The successful candidate will have a minimum of 3 years of dedicated experience in marketing data analysis, a self-learner with a strong drive to excel, and a proven track record of turning data into actionable insights.
What You’ll Do:
Inbound Marketing Data Analysis:
- Evaluate and interpret data to measure the effectiveness of inbound marketing campaigns.
- Provide insightful analysis on audience engagement, conversion rates, and other pertinent metrics.
- Manage and analyze data from diverse digital marketing channels to track campaign performance.
- Identify trends, patterns, and opportunities to enhance digital marketing efforts.
- Utilize advanced analytics tools (Amplitude, Tableau, ThoughtSpot) to derive actionable insights and recommendations for marketing optimization.
- Present findings clearly and concisely to stakeholders.
- Collaborate with cross-functional teams to integrate data-driven decision-making into marketing strategies.
- Support A/B testing and other data-driven experiments to improve marketing outcomes.
- Analyze market research data to uncover actionable insights shaping marketing strategies.
- Stay informed about industry trends and their impact on marketing initiatives.
- Build and maintain reports, Tableau/ThoughtSpot dashboards, and KPIs to monitor performance.
- Develop data processes and build data infrastructure for relevant stakeholders.
- At least 3 years of dedicated experience in marketing data analysis.
- A self-learner and go-getter with a strong drive to excel.
- Strong SQL skills with experience writing complex queries – a must.
- Experience with data visualization tools like Amplitude, Tableau, ThoughtSpot – a must.
- Strong understanding of marketing metrics with past experience in building campaigns and creative reports – a must.
- Past experience analyzing channel attribution and building attribution models – a must.
- Excellent communication skills to convey complex data insights to non-technical stakeholders.
- Proven ability to contribute to data-driven decision-making processes.
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