Business Analytics- Online Facilitation

LINC Education; United States; Remote; USD 60,000 - 90,000; Part time

Job summary

LINC Education invites applications for an experienced online educator (LINC Fellow) to serve as an independent contractor. The role supports postgraduate-level study with universities in Australia and Asia, focusing on business analytics, predictive modeling, and data-driven decision-making.

Candidates must deliver sessions, assist with analytics, and provide actionable insights to a diverse international student body.

Qualifications

• PhD required in ICT-related field such as Business Analytics.
• Experience and knowledge in Business Intelligence using Excel.

Responsibilities

• Subject matter guidance to a group of 30-35 undergraduate online students.
• Support in learning skills like academic writing, research and time management.
• Guidance on relevant reference material.
• Conducting a 2-hour session on Monday/Tuesday.
• Assessment marking with long-form feedback.
• Management of discussion forums; and
• Proactive, prompt and personalised support to student queries and issues.

Skills

Business analytics

Regression analysis

Time series forecasting

Classification and clustering

Predictive modelling

Natural language processing (NLP)

Data analysis and visualisation

Data-driven decision-making

Education

PhD in ICT-related field (e.g., Business Analytics)

Job description

Category: Education Location: MBIS5009- Business Analytics 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 Postgraduate-level programs studying at premier Australian and Asian universities. Candidate must possess strong knowledge of business analytics, predictive modelling, and data-driven decision-making. They should be able to support students in analysing organisational data, applying statistical and machine learning techniques, interpreting predictive models, and leveraging natural language processing to generate actionable business insights.

Key Skills Required

• Business analytics
• Regression analysis
• Time series forecasting
• Classification and clustering
• Predictive modelling
• Natural language processing (NLP)
• Data analysis and visualisation
• Data-driven decision-making

Desired Candidate Profile

• PhD on ICT related field like Business Analytics
• At least 3+ years of teaching in cybersecurity, network security, or information assurance and 2+ years of corporate experience in cybersecurity roles (Experience and knowledge in Business Intelligence using Excel)
• Proficient in business communication skills, including current academic/business communication practices, referencing styles, AI use and academic integrity policies.
• Empathetic, ambitious, warm and outgoing personality willing to work closely with people from diverse cultures;
• Proficient in English language; excellent oral and written communication
• Must possess a working laptop and have access to 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 must be available Monday/Tuesday for online sessions between 8:30 AM and 2:30 PM, and they are required to be available to answer student queries via email within 6 hours after lectures throughout the week.

Roles & Responsibilities

• Subject matter guidance to a group of 30-35 undergraduate online students;
• Support in learning skills like academic writing, research and time management;
• Guidance on relevant reference material;
• Conducting a 2-hour session on Monday/Tuesday
• Assessment marking with long-form feedback
• Management of discussion forums; and
• Proactive, prompt and personalised support to student queries and issues.

LINC Fellows will be expected to promptly interact with students over email, or calls / online sessions from locations of their convenience (e.g. home, office, etc.).