[Hiring] Data Visualization and Communicating Value @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 for Master of Data Science programs studying at premier Australian and Asian universities. The candidate must possess strong knowledge of data visualisation and exploratory data analysis, with expertise in transforming complex and large datasets into clear, meaningful, and visually compelling representations. They should be able to support students in applying data visualisation principles and techniques to real-world business contexts, interpreting visual data effectively, and developing dashboards and data stories that communicate insights clearly and support informed decision-making.

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)
• Data interpretation and knowledge discovery
• Visual perception and cognitive principles
• Data storytelling and visual communication
• Storyboarding and dashboard development
• Effective presentation of large and complex datasets
• Business intelligence and decision-making through visualisation
• Ability to select appropriate visualisation methods for different datasets
• Critical thinking and analytical skills
• Application of data visualisation to real-world business scenarios
• 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
• Prompt interaction with students over email, or calls/online sessions from locations of their convenience (e.g., home, office, etc.)