Fullstackacademy

Fullstackacademy

Instructor - Business Analysis

United States · Part-time

No sponsorship$10k-$15kDetected 64 days ago
Full-Stack DevelopmentSQLData AnalysisData EngineeringData ScienceData VisualizationAgentic AIAgileJiraStakeholder ManagementExcelCommunicationCollaborationProblem SolvingMentoringAdaptability

About the role

  • We focus on emerging technologies and skills, such as data science, cloud computing, programming, and more - that are transforming the global economy.
  • Over two million professionals and 2000 corporate training organizations across 150 countries have harnessed our award-winning programs to achieve their career and business goals.
  • Simplilearn has collaborated with Fullstack Academy to leverage its widespread footprint in the US region and partnerships with Top US universities to grow internationally.

Responsibilities

  • Design and deliver end-to-end training programs in Business Analysis and Data Analytics.
  • Maintain session quality metrics and learner engagement standards.
  • Collaborate with internal teams on curriculum enhancement and content development initiatives.
  • Maintain regular communication with students regarding progress, expectations, and milestones.
  • Maintain accurate documentation of student performance and engagement.
  • Identify and escalate academic or learner performance concerns to the Lead Instructor or appropriate staff.
  • Support learner improvement plans and project readiness initiatives when necessary.
  • Collaborate with instructional staff and program teams to improve the learner experience and program outcomes.

Requirements

  • Weekday - 06:30 PM CST - 09:30 PM CST (Monday, Wednesday and Thursday) Weekend - 09:00 AM CST - 12:00 PM CST (Saturday and Sunday) Flexibility for evening availability is required.
  • Bachelor's degree in Business Administration, IT, Data Analytics, or related field 10+ years of experience as a
  • Work Authorization Applicants must be legally authorized to work in the United States at the time of application and throughout employment. #LI-REMOTE

Skills

  • Classes are delivered 100% online in a synchronous format.

Compensation

  • Compensation The anticipated pay range for this position is $55 - $60 per hour, depending on qualifications and experience.
  • This position is classified as Part-Time, Non-Exempt, and employees will be compensated for all hours worked in accordance with applicable federal and state wage and hour laws.

Benefits

  • Foster an inclusive, respectful, and professional learning environment.

Company info

  • Simplilearn is the world's #1 online Bootcamp provider, enabling learners around the globe with rigorous and highly specialized training offered in partnership with world-renowned universities and leading corporations.
  • Our training is hands-on and immersive, including live virtual classes, integrated labs and projects, 24x7 support, and a collaborative learning environment.
  • Position Overview The Part-Time Instructor for Business Analysis & Data Analytics plays a key role in delivering engaging and impactful learning experiences to adult learners enrolled in our online programs.
  • Instructors facilitate curriculum content, support student learning, and connect business analysis concepts with real-world data, automation, and AI-driven business applications.
  • This role involves teaching live online sessions, mentoring learners, providing feedback, and contributing to a collaborative instructional environment.

Equal opportunity

  • We are committed to creating an inclusive environment for all employees and applicants.
  • Employment decisions are made without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law.

Visa & Work Authorization

  • Applicants must be legally authorized to work in the United States at the time of application and throughout employment. #LI-REMOTE

This listing is sourced directly from Fullstackacademy's careers page and normalized into a canonical job model.