[Hiring] Data Visualization @Linc Education Services Pte Ltd

Role Description

This is a remote position.

As an experienced online educator (LINC Fellow), the candidate will work as an independent contractor of LINC and serve a diverse international student body in Master of Data Science programs studying at premier Australian and Asian universities. The candidate must possess strong knowledge of data visualisation, with expertise in applying visualisation principles, design theories, and analytical techniques to transform large and complex datasets into clear, meaningful, and effective visual representations. They should be able to support students in applying exploratory data analysis, visual perception and cognition principles, and appropriate visualisation tools to communicate insights effectively across diverse data types and business contexts.

Qualifications

• PG/Doctoral degree with distinction or first-class from a top university in India
• At least 5 years of corporate experience and/or teaching experience in the relevant fields at a leading university or college (Note: Candidates with formal teaching experience at a university or college are preferred)
• Empathetic, ambitious, warm, and outgoing personality willing to work closely with people from diverse cultures
• Proficient in the English language; excellent oral and written communication
• Must possess a working laptop and have access to a high-speed (>10 MBPS) stable internet connection
• Ability to quickly learn and use technology platforms for interacting with students, including the host university’s LMS and LINCtrac (training on these platforms will be provided)
• The candidate needs to be available between 2.30 pm and 7 pm IST every day

Requirements

• Data Visualisation principles and techniques
• Exploratory Data Analysis (EDA) with visualisation
• Data visualisation tools and techniques
• Visual perception and cognition
• Data visualisation design principles
• Data storytelling and visual communication
• Business presentations and insight communication
• Visualisation of diverse and complex datasets
• Selection of appropriate visualisation techniques for different data types
• Application of visualisation to real-world business contexts
• Critical thinking and analytical skills
• Ability to support Master of Data Science-level assessments and practical projects

Roles & Responsibilities

• Providing subject matter guidance to a group of 25-30 undergraduate online students
• Support in learning skills like academic writing, research, and time management
• 1:1 and small group tutoring sessions
• Guidance on relevant reference material
• Assessment marking with long-form feedback
• Management of discussion forums
• Proactive, prompt and personalised support to student queries and issues
• Expected to promptly interact with students over email, or calls/online sessions from locations of their convenience (e.g., home, office, etc.)