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Business & Data Analytics Instructor

Remote / Online - Candidates ideally in
Mount Vernon, Westchester County, New York, 10550, USA
Listing for: Transfotech Academy
Part Time, Remote/Work from Home position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    Data Analyst
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

We are not just a traditional bootcamp;
Transfotech Academy is an NYC-founded Career Engine and an E-Verify Authorized Employer. For over 13 years, we have graduated 3,000+ alumni with an audited 74% job placement rate into massive global brands like Deloitte, Visa, and IBM.

We build tech careers through an Outcome-Based Education (OBE) model. As we scale our flagship Business & Data Analytics Accelerator program, we are searching for world-class, international practitioner-educators to join our global faculty.

The Role & Scope

This is a 100% remote position open to top-tier international data analytics professionals capable of delivering elite training to our diverse cohorts. This hands-on, practitioner-focused program bridges data analysis fundamentals with advanced business intelligence, enabling learners to extract actionable insights, build compelling dashboards, and drive data-driven decision-making in real-world business contexts.

What You'll Lead:
  • Core Analytics Instruction: Deliver engaging online lectures and real-world lab sessions covering data analysis concepts, statistical fundamentals, data cleaning, visualization, reporting, and business intelligence.
  • Data-Driven Insights: Teach students how to identify business problems, analyze datasets, build compelling dashboards, and translate raw data into actionable business recommendations.
  • Tool Mastery & Visualization: Guide students through industry-standard analytics platforms:
    Tableau, Power BI, SQL, Python, R, Excel (advanced), Google Analytics, and cloud-based BI solutions.
  • Business Case Mentorship: Mentor students through real-world datasets, capstone projects, and case studies that mirror enterprise analytics workflows, preparing them for immediate impact in professional roles.
Minimum Qualifications:
  • Experience: 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.
  • Instructional Capability: Demonstrated ability to deliver lab-based instruction to adult learners (submission of 3 recorded sample classes may be required during evaluation).
  • Language: Elite, fluent verbal and written English communication skills.
Tech Stack Proficiency:
  • Database & Query

    Languages:

    SQL, MySQL, PostgreSQL
  • Programming & Analysis: Python, R, Excel (advanced formulas, pivot tables, VBA)
  • Analytics Tools: Google Analytics, Apache Spark, Hadoop basics
  • Concepts: Data Cleaning & Preparation, Statistical Analysis, Data Interpretation, Dashboard Design, Report Development, Business Problem-Solving, A/B Testing, Predictive Analytics
Preferred but Not

Required:
  • 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.
Why Global Instructors Join Us
  • Global Competitive Compensation: Highly attractive per-course or monthly contract rates tailored to top international talent.
  • Prestigious Affiliation: Teach for an established New York training institution recognized by Course Report, Career Karma, and elite US university networks.
  • Enterprise-Level Sandbox: Gain access to cutting-edge curriculum updates, real-world datasets, cloud analytics environments, and an active network of 100+ hiring partners across FAANG and Fortune 500 companies.
  • Ultra-Flexible Schedules: Easily balance your current corporate day job with our flexible part-time or evening cohort schedules.
Equal Opportunity Employer

Transfotech Academy is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, veteran status, or any other legally protected characteristic. We welcome applications from all qualified candidates and provide reasonable accommodations throughout our hiring and employment processes.

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