Title: Data Analytics Manager (Manufacturing & Logistics)
The Data Analytics Manager will be responsible for leading the data analytics team in providing insights and actionable recommendations to optimize manufacturing and logistics operations. The ideal candidate will have a strong background in data analytics, preferably in the food manufacturing and logistics/distribution industry, and will possess excellent leadership and communication skills.
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Develops and implements data analytics strategies to support business goals in food manufacturing and logistics/distribution.
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Oversees the collection, analysis, and interpretation of large datasets related to manufacturing processes, supply chain performance, and distribution logistics.
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Utilizes advanced statistical methods, data modeling, and machine learning techniques to uncover trends, patterns, and anomalies, ensuring data accuracy, integrity, and security.
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Presents analysis findings to stakeholders using visualizations, dashboards, and reports.
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Collaborates with cross-functional teams to identify opportunities for improvement and innovation.
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Drives continuous improvement initiatives within the data analytics function.
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Mentors and trains team members to enhance their analytical skills and professional development.
JOB QUALIFICATIONS:
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A graduate of Bachelor's degree in Data Science, Statistics, Computer Science, Engineering, or a related field; Master's degree preferred.
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Minimum of three (3) years of experience in data analytics, with at least one (1) year in a managerial or leadership role.
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Experience in the food manufacturing or logistics/distribution industry is highly desirable.
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Proficiency in data analysis tools and software such as SQL, Python, R, Tableau, Power BI.
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Solid understanding of statistical analysis, data mining, and machine learning techniques.
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Excellent analytical, problem-solving, and communication skills.
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Willing to work on a hybrid setup in Pasig or Laguna.