Description and Requirements
Position Requirements
- Minimum of 10 years of hands-on experience in Customer Analytics, B2B marketing or Sales analytics project
- Program management experience, preferably with marketing and Sales analytics and automation platforms.
- Degree in Engineering, Statistics, Mathematics with an additional marketing qualification
- Hands-on experience in B2B sales is desired Experience in working on CRM platforms such as Dynamics 365 will be an added advantage
- Exposure to external data bases is preferred.
- Knowledge of SAS, R, Python and ML will be an added advantage
- Ability to effectively convert business problems into pragmatic analytics solution is a must.
- Ability to build and collaborate with broad network of entities including development teams, IT, regional and worldwide teams with strong communication, project management with collaborative style.
- Spoken and written English must be exemplary.
Key Responsibilities:
- Manage features, functionality and scope of one or more proprietary Customer Engagement analytics platforms
- Provide advice and guidance on future enhancements to the proprietary logics & insights as well as new developments
- Work with the executive sponsor, development teams and Marketing and Sales to plan, develop, test and release periodic updates
- Build and leverage relationships with external marketing technology, data base and platforms vendors to enhance the effectiveness of proprietary tools
- Requirement gathering and formulation of business logic to provide solutions.
- Evangelize the capabilities of the tools among internal teams and departments
- Manage the operationalization of the tools & available insights in identified regions and across integrations with other tools
- Ensure constant uptime of the tool by working with IT, analytics and regional teams
- Ensure data from multiple internal functions like sales, marketing, product & customer experience in the tools are complete and up to date
- Work with external vendors to evaluate, negotiate and source fresh and updated data for future enhancements
- Mine the data and develop additional insights leveraging the internal and external data while considering user requirements and feedback
