Business & Data Analytics Instructor

Transfotech Academy is hiring a Business & Data Analytics Instructor to deliver hands-on online instruction in data analysis, business intelligence, and analytics tools. The instructor will mentor learners through real-world datasets, dashboards, capstone projects, and business cases to prepare them for professional analytics roles.

Responsibilities:

• Deliver engaging online lectures and real-world lab sessions covering data analysis concepts, statistical fundamentals, data cleaning, visualization, reporting, and business intelligence
• Teach students how to identify business problems, analyze datasets, build compelling dashboards, and translate raw data into actionable business recommendations
• Guide students through industry-standard analytics platforms: Tableau, Power BI, SQL, Python, R, Excel (advanced), Google Analytics, and cloud-based BI solutions
• Mentor students through real-world datasets, capstone projects, and case studies that mirror enterprise analytics workflows, preparing them for immediate impact in professional roles

Requirements:

• 5-8 years of professional industry experience as a Data Analyst, Business Analyst, BI Developer, or comparable role, plus 1+ years of training or mentoring experience
• Demonstrated ability to deliver lab-based instruction to adult learners
• Elite, fluent verbal and written English communication skills
• Tableau, Power BI, Looker, Google Data Studio, QlikView
• SQL, MySQL, PostgreSQL
• Python, R, Excel (advanced formulas, pivot tables, VBA)
• Google Analytics, Apache Spark, Hadoop basics
• Data Cleaning & Preparation, Statistical Analysis, Data Interpretation, Dashboard Design, Report Development, Business Problem-Solving, A/B Testing, Predictive Analytics
• Active industry certifications (Google Data Analytics Certificate, Microsoft Power BI Analyst, Tableau Desktop Specialist, AWS Analytics, CompTIA Data+)
• Experience with cloud data platforms (AWS, Azure, or GCP analytics services)
• Background in enterprise BI environments or data warehouse systems
• Familiarity with agile analytics methodologies