Uni Internship Jan to Jun 2025 - Data Analytics Internship
Date: 19 Oct 2024
Location: SG
Company: Synapxe
Synapxe is the national HealthTech agency inspiring tomorrow’s health. The nexus of HealthTech, we connect people and systems to power a healthier Singapore. Together with partners, we create intelligent technological solutions to improve the health of millions of people every day, everywhere.
Are you someone who enjoys problem solving, has a creative and curious mind, and strives to create a better and healthier tomorrow? If you say yes to all, do check out our website and find out more about Internship@Synapxe.
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. We aim to deliver the best experience for all interns, to create exponential growth and paving your future in the tech industry.
As a Data Analytics intern, you will assist with the setting up of environments conducive for analysing data, develop and document analysis scripts, summarizing results and developing conclusions. Retrieve and analyse diverse datasets, assess data quality and perform transformations to prepare the data to be ready for more advanced analysis.
Identify Business Needs
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Work with stakeholders to define business and information needs
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Support the translation of business needs into analytics and reporting requirements
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Recommend types of data and data sources needed
Analyse Data
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Gather data from internal systems and external sources
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Apply programming abilities to build software to scrub, combine, and manage data from a variety of sources
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Perform data validation and quality control checks
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Apply data mining techniques and programming skills to investigate leads, identify patterns and regularities in data
Present Insights
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Assist with the development of actionable recommendations
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Develop compelling, logically structured presentations including story telling of research/analytics findings
About you:
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Be pursuing a Bachelor Degree in Business Analytics, Data Analytics, Information Systems or related discipline
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Graduating in May/Dec 2026
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Knowledge of Statistical and Data Mining techniques
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Knowledge in various databases (SQL/ PL/SQL Query etc.) and programme knowledge such as R and/or Python
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Strong interest in uncovering patterns in underlying complex data
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Possess data intuition and curiosity to learn and master application of new techniques on diverse real-world data, and a tenacity to solve problems when encountering new unknown scenarios
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Adaptable, proactive and a strong team player
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Possess strong leadership qualities with good verbal and written communications skills
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Passionate and keen to make a difference to re-imagine the future of HealthTech
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