Data Scientist

Responsibilities: <ul><li>Implement business process improvements - automating manual processes, optimizing data delivery, redesign/restructure data and process flows for more efficiency.</li><li>Develop expertise and aim to become a subject matter expert on the entire data, analytics and process automation ecosystem.</li><li>Bridge process and technology gaps with innovative solutions using a variety of tools (e.g. Power Automate, Python, PowerApps, Selenium, SQL, UI Path etc.)</li><li>Develop and maintain ETL (Extract, Transform, Load) processes for data management.</li><li>Create visually appealing, intuitive and insightful dashboards and reports using data visualization tools (e.g. Power BI, Tableau).</li><li>Utilize statistical techniques to solve business problems and provide insights.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Collaborate with cross-functional teams to understand their data and process needs and provide analytical and digitization support.</li><li>Collaborate with DBAs, IT and Architecture teams as required</li><li>Be heavily involved in development and testing of newly integrated data sources and/or environments</li><li>Document data processes, methodologies, and analysis techniques for future reference and training purposes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Industrial Engineering or a related field.</li><li>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.</li><li>Experience with automation tools such as Power Automate, PowerApps, UI Path, Python, Selenium etc.</li><li>Experience with creating and managing databases in AWS, SQL Server, Oracle etc. and working with APIs to integrate systems.</li><li>Possess transferrable programming skills in any language (e.g. Python, C++, JavaScript etc.)</li><li>Proficiency in SQL for database querying and manipulation.</li><li>Experience with statistical analysis software (e.g., R, Python).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Knowledge of Excel at an advanced level (Power query, macros).</li><li>Demonstrable willingness to learn new tools and technologies.&nbsp;</li><li>Strong analytical and critical thinking abilities.</li><li>Ability to explain technical processes to non-technical audiences.</li><li>Attention to detail and a proactive approach to problem-solving.</li><li>Ability to manage multiple projects and meet deadlines in a fast-paced environment.</li><li>Knowledge of machine learning algorithms and data modelling techniques.</li></ul>

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Data Scientist

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