Sr Officer-Data Monet Delivery Engineer
About this position
Responsibilities
• Coordinate with customer and internal stakeholder in all matters to ensure deliver project on track, on budget & on scope.
• Collaborate with product teams to implement monetization strategies, such as Ad Tech, Analytics Solution, Identity Management & Data Analytics.
• Monitor and analyze data & web performance metrics, user behavior, conversion rates, and other relevant data to identify areas for improvement and make data-driven decisions.
• Maintaining complete documentation related to all planning, communications, and actions on delivering the services.
• Deliver & lead project Data Monetization to customer.
• Ensures that all Data Monetization Projects are carefully managed and optimized to deliver value to the business and customer.
• Deliver services to customer as SoW successfully.
• Conduct regularly assess and mitigate risks associated with Data Monetization deployments.
• Deliver Data Monetization Project with Data Monetization trends, technologies & infrastructure enhancements.
• Assessment and improvement plan reports.
• Collaborate with internal teams and external partners to align Data Monetization solutions with requirements.
• Gather customer feedback and use it to improve service delivery.
• Data Monetization performance report.
Requirements
• Minimum Bachelor in Computer Sciences, Telecommunication Engineering, or related field.
• Having certifications relevant with Big Data Technology (Google Professional Data Engineer, AWS Certified Data Analytics – Specialty, Cloudera Certified Professional, or else with similar level).
• Familiarity with Big Data platforms (Google Big Query, Hadoop, Hive, Apache Kafka, AWS, or Apache Spark).
• Familiarity with Data Visualization platform (Power BI, Tableau, or Qlik).
• Min 5 years of working with project related Data Monetization (digital advertising, data enhancement, telco scoring, data analytics, identity management, etc).
• Min 3 years of working in brand planning and campaign planning.
• Experience in designing, implementing reporting and visualization for unstructured and structured data sets using Data Visualization platform.
• Proven track record of successful large-scale project Big Data (min 3 big projects).
• Having knowledge of data engineering with Big Data Tools and collaborate with team Data Scientists to align with Big Data projects.
• Skills in developing and implementing AI/ML models to enhance data monetization efforts is advantage.
• Ability to effectively make oral and written reports and presentations.
• Ability to prepare detailed written instructions and documentation.
• Good communication with key stakeholders.
• Good interpersonal skills.