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Data Monetization Manager
2 months ago
Asterix Communications is seeking a highly skilled Data Monetization Manager to join our team. As a key member of our Business Analytics and Revenue Growth team, you will be responsible for identifying and implementing strategies to generate revenue from our company's data assets.
Key Responsibilities:- Data Analysis and Insights: Analyze large data sets to identify key trends, patterns, and insights that can be used to drive revenue growth.
- Monetization Strategies: Develop and implement monetization strategies based on insights gained from data analysis to generate revenue from our data assets.
- Platform Implementation: Implement monetization strategies across our organization's various business units, ensuring alignment with overall business objectives.
- Performance Measurement: Measure the success of our data monetization platform, tracking revenue growth and other key performance indicators.
- Industry Trends and Best Practices: Stay up-to-date with the latest trends, technologies, and best practices in data monetization.
As a Data Monetization Manager, you will also be responsible for:
- Defining and strategizing CVM as a service (targeted campaigns) roadmap and end-to-end execution plan.
- Integrating and automating different IT internal and external systems to build data banks for executing multi-segment commercial use cases for customers.
- Understanding business use cases and converting them into real revenue-generating ideas.
- Creating business intelligence for B2B customers and setting up roadmaps for future requirements and data KPIs.
- Identifying business use cases until implementation to gain more share of wallet from B2B customers, including managed services for key B2B clients.
- Initiating the creation of new segments in the targeted campaign platform for customers.
- Collaborating to identify ML model use cases and consumption strategies.
- Driving the cross-functional project team for any new technology implementation related to analytics and CVM.
- Continuous improvement of the platform experience and offerings.
- Conducting product lookalike analysis and target segment identification.
- Performing recursive analytics for campaign targeting rule improvements.
- Identifying product gaps in the base and success.
- Designing and implementing customer journeys across channels.
To be successful in this role, you will need:
- BSc degree in Business / Computer Science / Engineering
- Master's degree in Business / Computer Science / Engineering (desired)
- 6+ years of experience in Sales Marketing & Analytics
- Strong analytical mindset
- Customer-oriented mindset