87 Job Postings
2025-07-17 - 2026-07-17
The common responsibilities for this position include conducting data engineering and analysis in Sales, Manufacturing, and Logistics; designing, building, and optimizing scalable data pipelines for large-volume datasets; collaborating with machine learning engineers and app developers to develop end-to-end analytical systems; ensuring data quality, consistency, and real-time monitoring; promoting digital transformation; implementing robust data cleaning, transformation, and feature engineering pipelines; leading and guiding junior data analysts; conducting thorough analysis for ERP solutions development; defining project scope and aligning it with organizational goals; developing project schedules; facilitating system adoption; and actively participating in building organizational competency and best practices. Other duties involve coding, testing, and deployment of application programs utilizing AI technologies; preparing test plans and conducting various testing phases; implementing proof-of-concepts and technical studies; monitoring and optimizing data warehouse performance; and collaborating with contractors to manage project progress and ensure quality deliverables.
The percentages next to each skill reflect the sector’s demands in these respective skills. E.g., 30% means this skill has been listed in 30% of all the job postings in this sector.
The skills distribution tells you what specific skill sets are in demand. E.g., Skills with a distribution of “More than 50%” means that these skills are wanted in more than 50% of the job postings.
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Academic degree required as indicated by all job postings
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