Data Scientist
Job Overview
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Implement business process improvements - automating manual processes, optimizing data deliverredesigningirestructuringure data and process flows for more efficiency.
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Develop expertise and aim to become a subject matter expert on the entire data, analysis, cs, and process automation ecosystem.
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Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Pa, etc.)
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Develop and maintain ETL (Extract, Transform, Load) processes for data management.
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Create visually appealing, intuitive, and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).
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Utilize statistical techniques to solve business problems and provide insights.
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Present findings and recommendations to stakeholders clearly and concisely.
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Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.
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Collaborate with DBAs, IT, and Architecture teams as required
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Be heavily involved the d in the development and testing of newly integrated data sources and/or environments
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Document data processes, methodologies, and analysis techniques for future reference and training purposes.
What your background should look like:
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Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering, or a related field.
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2+ years of experience as a Data Analyst, Digital Transformation Analyst, or in a similar analytical/technical role preferably in a procurement or supply chain environment.
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Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium, etc.
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Experience creating and managing databases in AWS, SQL Server, Oracle, etc., and working with APIs to integrate systems.
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Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript, etc.)
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Proficiency in SQL for database querying and manipulation.
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Experience with statistical analysis software (e.g., R, Python).
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Experience with data visualization tools (e.g., Tableau, Power BI).
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Knowledge of Excel at an advanced level (Power Query, macros).
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Demonstrable willingness to learn new tools and technologies.
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Strong analytical and critical thinking abilities.
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Ability to explain technical processes to non-technical audiences.
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Attention to detail and a proactive approach to problem-solving.
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Ability to manage multiple projects and meet deadlines in a fast-paced environment.
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Knowledge of machine learning algorithms and data modeling techniques.
Competencies
MAKATI CITY, 00, PH, 1226
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Supply Chain, Industrial Engineer, Database, Oracle, Testing, Operations, Engineering, Technology