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A leading tech company in Penang is seeking an IT Senior/Engineer specializing in Data Analytics. The ideal candidate will define project scopes, design and implement analytics solutions, and develop tools for data visualization. A strong background in programming with Python, R, and SQL is essential. This role offers opportunities to work with big data tools and improve cost and quality through data insights.
Job Titile: IT Senior/Engineer (Data Analytics)
Job functions:
* Work with stakeholders to define the scope, requirements, processes and procedures to ensure the success of data analytics projects.
* Analyze, design, develop, test and implement data analytics projects.
* Perform end-to-end model development including data cleansing, transformation, variable selection, parameters tuning, validation, etc.
* Develop scripts to automate processes to cleanse, integrate and evaluate large datasets from disparate data sources.
* Design and develop breakthrough methods, processes and systems to consolidate and analyze unstructured or diverse big data sources to provide actionable insights and solutions.
* Interact with stakeholders to identify opportunities in cost and quality improvement using data analytics.
* Develop tools to monitor and analyze model performances based on key metrics.
* Able to translate key findings using data visualization techniques and building dashboards to stakeholders.
* Translates analysis results into business recommendations.
* Work independently and as part of the data analytics team to accomplish the objectives for stakeholders.
Job requirements:
* Strong programming experience in Python, Spark, C, C++, PERL, R, SQL.
* Experience with querying and manipulating large databases using Python, R, SQL, etc.
* Experience with interactive data visualization using Python frameworks or interactive suites such as Tableau or PowerBI.
* Proficient in statistical, analytics and data mapping skills using big data tools (Hadoop, Spark, etc).
* Experience with API frameworks is advantageous.
* Experience in electronics or semiconductor industry preferred.
* Detailed, strong technical and analytical skills.
* Good communication, decision making and presentation skills.
Qualification:
Degree in Computer Science, Data Science, Data Analytics or related qualification.