Job Description

About SGInnovate
SGInnovate is a Deep Tech ecosystem builder and investor, backed by the Singapore Government. Our expertise and approach combines investments, talent development and community-building to catalyse the translation of emerging technologies into tomorrow's opportunities. Through our flagship Deep Tech Central platform, we connect individuals, founders and companies to specialised resources and opportunities across all technological domains and stages of growth. Our portfolio of emerging tech startups comprises some of the most promising companies leading the commercialisation of research developed from Singapore's RIE ecosystem. Connect with us at www.sginnovate.com. Opportunities are available for students who can join us immediately.

Overview
The DSA team is responsible for the digital transformation of SGInnovate. Be part of this exciting and pivotal effort to bring about positive and impactful changes to the organisation and the wider Deep Tech startup ecosystem. The team drives and oversees progress on two fronts: (1) key digital product transformation projects and (2) data & analytics asset development. Key digital products will impact both internal and external stakeholders by optimising the platform through which we conduct our business. Data & analytics asset development entails building the data pipeline from source to data warehouse, before finally delivering insights to end user via dashboards.
If the prospect of orchestrating strategical changes that are instrumental to the growth of SGInnovate and our key sector excites you, look no further and grow your career with us today!
Responsibilities
The role of a Data & Analytics Intern primarily looks at developing end-to-end data assets to deliver information and insights to internal stakeholders readily. Strategically, the role also has a part to play in shaping and defining the data collected upstream in the transactional systems through the management of key digital transformation projects. He/she will report to the Data & Analytics Lead.
Typical tasks and responsibilities include:

• Design and develop strategic methods for data collection and analysis
• Develop and maintain data pipelines to ingest data from source to data warehouse before transforming it for downstream analytics or reporting purposes
• Develop and maintain data visualisation dashboards based on user requirements
• Uncover descriptive and predictive insights when working with the various internal teams
• Understand the data assets available throughout the overall technical architecture and make recommendations on the management of data
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Follow and adopt industry standards and agile development practices to accommodate rapid customer-driven specification changes.
• Manage digital transformation projects and work with external vendors to ensure the seamless collection and delivery of data

You may be a good fit if you possess:
i. Tangible:

• Interest in project and stakeholder management (e.g. Agile, waterfall, etc)
• Strong passion for data & analytics with knowledge and/or experience for:
• Data visualisation tools (e.g. Tableau, PowerBI, Qlik, etc)
• Data transformation via coding or tools (e.g. SQL, Python, VBA, R and/or Talend, Informatica, Alteryx, AWS glue, etc)
• The management of databases (e.g. PostgreSQL, MSSQL, etc)
• Commercial cloud managed services (e.g. AWS - EC2/S3/etc, GCP, etc)
• Automation/workflow tools (e.g. RPA, PowerAutomate, etc)
• Analytical techniques such as machine learning, text mining, web scraping, natural language processing, etc
• Data Governance, Metadata Management

ii. Intangible:

• Excellent interpersonal, communication and project management skills
• Team player and ability to collaborate with and manage stakeholders across different teams
• Ability to host and drive discussion with multiple stakeholders
• Independent and resourceful problem solver
• Meticulous, structured, and methodical
• Able to manage and excel in ambiguity to create structure from almost nothing

Application Instructions
If the above sounds like you and your dream job, send us your CV at and let's do a coffee chat.
We regret that only shortlisted candidates will be notified. By submitting an application or your resume to us, you are consenting to the collection and use of the submitted personally identifiable data. We collect and use personal data (e.g. name, address, telephone number and email address) submitted by you for evaluating job applications, processing information requests, and internal record-keeping of our communications with you. Further information on our Data Protection & Privacy Policy can be found at .