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Key Accountabilities :
- Develop and implement the overall data strategy, including analytics, data science, and engineering initiatives, aligned with the organization's goals.
- Provide leadership and guidance to Data Analytics, Data Science, and Data Engineering teams.
- Oversee the collection, analysis, and interpretation of data to generate actionable business insights.
- Ensure the accuracy and reliability of data used for decision-making.
- Collaborate with cross-functional teams to deliver data-driven insights.
- Drive the development of advanced analytics models and machine learning solutions to support predictive and prescriptive analytics.
- Identify opportunities for automation and process improvement through data science techniques.
- Ensure the data infrastructure is scalable, secure, and optimized for data collection, storage, and processing.
- Collaborate with IT to ensure data governance and compliance with security and privacy regulations.
- Mentor and develop team members in Data Analytics, Data Science, and Data Engineering.
- Foster a culture of continuous improvement and innovation in data practices.
- Encourage knowledge sharing and collaboration across teams.
Requirements :
- Minimum Bachelor degree in Computer Science / Math / Statistic / other relevant major
- sProfessional Certification in Technology / Data Analytic
- sMin. 7+ years of working experience
- Have knowledge about data Strategy Development, Advanced Data Analytics, Data Science and Machine Learning, Data Engineering and Infrastructure and also Artificial Intelligence
- Have skill about Data Visualization Tools, Programming Skills (Python, R, SQL), Big Data Technologies (Hadoop, Spark, Kafka), Data Governance and Compliance, Business Acumen, Project Management and Stakeholder Management
- Have experience leading a team
Key Accountabilities :
- Develop and implement the overall data strategy, including analytics, data science, and engineering initiatives, aligned with the organization's goals.
- Provide leadership and guidance to Data Analytics, Data Science, and Data Engineering teams.
- Oversee the collection, analysis, and interpretation of data to generate actionable business insights.
- Ensure the accuracy and reliability of data used for decision-making.
- Collaborate with cross-functional teams to deliver data-driven insights.
- Drive the development of advanced analytics models and machine learning solutions to support predictive and prescriptive analytics.
- Identify opportunities for automation and process improvement through data science techniques.
- Ensure the data infrastructure is scalable, secure, and optimized for data collection, storage, and processing.
- Collaborate with IT to ensure data governance and compliance with security and privacy regulations.
- Mentor and develop team members in Data Analytics, Data Science, and Data Engineering.
- Foster a culture of continuous improvement and innovation in data practices.
- Encourage knowledge sharing and collaboration across teams.
Requirements :
- Minimum Bachelor degree in Computer Science / Math / Statistic / other relevant major
- sProfessional Certification in Technology / Data Analytic
- sMin. 7+ years of working experience
- Have knowledge about data Strategy Development, Advanced Data Analytics, Data Science and Machine Learning, Data Engineering and Infrastructure and also Artificial Intelligence
- Have skill about Data Visualization Tools, Programming Skills (Python, R, SQL), Big Data Technologies (Hadoop, Spark, Kafka), Data Governance and Compliance, Business Acumen, Project Management and Stakeholder Management
- Have experience leading a team