1. Analyze and design the digital marketing Insight
o Design personas and identify leads acquisition strategies across relevant digital platforms
o Tracking and analyzing user behaviours and customer journeys available to enable the effective lead acquisition and retargeting
2. Monitor and manage digital marketing data
o Deep-dive monitoring digital lead generation targets and conversion rate from leads to books, books to shows, and shows to contract with telemarketing team and sales team.
o Monitor dashboards in collaboration with the Analytics team to monitor the performance of the different digital journeys/posts/platforms o Advise on the interpretation of marketing data, including campaign and web analytics, and provide insight and recommendations to marketing team
o Analyse balance between spending budget and performance.
o Report on digital marketing performance on a daily basis to the Digital Marketing Manager
3. Drive process efficiency
o Ensure that the leads generated are entered in the relevant media in the Sales CRM system
o Connect with the Sales and Telemarketing teams to identify initiatives improving conversion across the sales funnel, for example by enriching lead information upstream
4. Assist a marketing automation transformation program
o Streamline current reporting around marketing campaign and team’s performance
o Define standard reporting requirements and work with the Marketing Operations and IT teams to implement changes and enhancements
o Assist on Digital Marketing Tools Implementation and Installation

The above statements are a snapshot of the duties and responsibilities of the role and are not intended to be an exhaustive list.

• Bachelor's degree in mathematics, statistics, marketing, business administration, or computer science
• 2+ years of relevant experience in data analysis, statistics, and data modelling
• Experience with Adobe Analytics, Google Analytics, Hubspot, Social Baker, or similar systems and tools
• Proficient in Microsoft Excel and PowerPoint
• Experience with business intelligence, database mining, and statistical analysis tools
• Good spreadsheet skills with proven experience managing large data sets and performing analysis
• Creative presentation skills for packaging analytics in a simple and actionable way
• Good communication skills to share and present analyses with marketing teams and leadership