Statistical Data Analysis for Business- Online Facilitation

LINC Education; United States; À distance; USD 41 000 - 83 000; Temps partiel

Résumé du poste

LINC Education is seeking an experienced online educator (LINC Fellow) to deliver statistical data analysis for business to an international undergraduate student body.

The Fellow will guide students through data collection, analysis, interpretation, and presentation, applying descriptive and inferential statistics to solve business problems. Remote work with flexible hours, Monday/Tuesday sessions, and prompt email support are expected.

Qualifications

• Masters or Doctoral level qualification with distinction/first-class from a top university.
• 2+ years corporate experience and 2+ years teaching in related fields is a MUST.
• Hands-on experience with R, SPSS, Python, Excel (advanced), Power BI, Tableau desirable.

Responsabilités

• Provide subject-matter guidance to groups of 30-35 undergraduate online students.
• Support learning skills such as academic writing, research and time management.
• Guide on relevant reference material and conduct sessions on designated days.

Connaissances

Statistical data analysis

Descriptive statistics

Data visualisation

Probability and distributions

Inferential statistics

Sampling and hypothesis testing

Correlation and regression analysis

Data-driven decision-making

Formation

Masters or Doctoral Qualifications in Business Analytics/Data Science

Outils

R

SPSS

Python

Excel (advanced)

Power BI

Tableau

Description du poste

Category: Education Location: BBMG2005-Statistical Data Analysis for Business

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 Undergraduate-level programs studying at premier Australian and Asian universities.Candidate must possess strong knowledge of statistical analysis and data analytics for business decision-making. They should be able to support students in collecting, analysing, interpreting, and presenting data, while applying descriptive and inferential statistical techniques to solve business problems and support evidence-based decision-making.

Key Skills Required

• Statistical data analysis
• Descriptive statistics
• Data visualisation
• Probability and distributions
• Inferential statistics
• Sampling and hypothesis testing
• Correlation and regression analysis
• Data-driven decision-making

Desired Candidate Profile

• Masters or Doctoral Qualifications with specialisation in Business Analytics, Data Science and/or related field with distinction or first-class from a top university in India;
• At least 2+ years of corporate and 2+ years of teaching experience in the relevant fields is a MUST (Hands-on experience on R, SPSS, Python, Excel (advanced), Power BI, Tableau is desirable);
• 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

LINC Fellows will be responsible for providing:

• 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;
• 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.).