As a Marketing Analyst your role will be to:
- Collaborate closely with the Marketing team and stakeholders in department.
- Use advanced analytics, data mining and BI tools to execute top-notch marketing analyses to identify patterns and trends from multiple large data sets and capture the full activity.
- Translate business questions and requirements to structure analyses and accordingly define suitable methods, metrics and solutions to establish and monitor success and explain the impact of the activities.
- Be an analytical focal point for the marketing department monitoring new user performance, user acquisition efforts as well as marketing tests, while proactively identifying gaps or opportunities.
- Design and implement reporting dashboards that track important metrics and performance trends, enabling the marketing team to make more informed decisions.
- Deliver valuable outputs, recommendations, guidelines, conclusions and insights.
- Plan, build and maintain BI reports for the different marketing teams and senior management in order to monitor and give insights on the marketing activity (for example, LTV, ROI projection)
Key Requirements:
- 3+ years of experience in Online marketing analytics, performance marketing, experimentation, A/B tests, and evaluation of marketing campaigns on multiple platforms.
- Ability to represent complex information in easily understood visualizations (including Tableau, Excel (can perform complex functions)).
- Proficiency in online marketing metrics and terminology, including CPM, CPC, CPL, CPA, etc Advanced proficiency in SQL enabling comprehensive database querying, complex data manipulation, and insightful analysis Highly experienced with data visualization tools (e.g. Tableau, Periscope) for building regular reports/dashboards to track multiple channel performance.
- Ability to communicate the analytical story clearly to executives, channel owners, and partners, and influence strategic business decisions.
- Analytical, and problem-solving skills; must be very comfortable with data analysis and driving decision-making.