Ziplines Education
Tech / AI / Software
LiveSessionInstructor-AIforData
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Live Session Instructor - AI for Data at Ziplines Education. Skills: AI for Data Analysis, business analytics, data analysis, AI, communication, mentorship. Fully complete the course in advance. Help learners apply AI for data analytics skills through hands-on projects, guided builds, and real-world use cases”
What You'll Achieve.
prepare professionals for today’s digital-first workforce; empower adult learners to confidently pursue the career they’ve always wanted; building a repeatable AI-enabled process for turning data into clear, defensible business recommendations; building the judgment needed to determine what is reliable, what is not, and what matters to the business; develop core AI competencies for data-driven decision making; building this system step by step, culminating in a configured, reusable Claude Project that supports real-world decision-making workflows; A proven decision-making framework that they can apply to new business questions; A reusable AI-powered system to accelerate future analysis and decision-making; Focus on outcomes: Students come first—always.
Industry & Context.
self-service problem-solving; real-world problem-solving
Able to deliver a high-quality learner experience across a full 5-week program, Able to commit to a full 5-week course term.
What They're Looking For.
Must Have
7+ years of experience in business analytics or a related field, At least 5+ years of experience using AI as a tool for data analysis
Nice to Have
understanding of industry trends and best practices, Experience applying analytics across multiple industries (e. g. , finance, healthcare, business operations, sales), Deep understanding of business applications of AI
What You'll Do.
Fully complete the course in advance
Help learners apply AI for data analytics skills through hands-on projects
and real-world use cases
Support learners in troubleshooting
and expanding on the course’s core exercises
and responsible understanding of AI for data analysis
and learner success through active
thoughtful facilitation in a highly interactive
application-based learning environment
Facilitate weekly 2-hour Zoom sessions focused on project-based AI workflow learning
Customize slide decks
review on-demand content and Playbooks
and prep for discussions
Participate in course Slack to answer questions and provide guidance
Join course debriefs with Ziplines team members and instructional designers
How You'll Work.
Team & Collaboration
Be trustworthy: Deliver, be honest, and support the team.; Be humble: We’re in this together.
Communication Scope
Exceptional communicator with the ability to simplify complex AI concepts and data analysis concepts for a non-technical audience.; communication and interpersonal skills, with the ability to connect with diverse learners
Full Job Description
About Ziplines Ziplines Education is a category-leading education company that partners with universities to deliver industry-focused certificate courses that prepare professionals for today’s digital-first workforce. Each year, we have the opportunity to help thousands of career advancers build the knowledge, skills, and credentials they need to move their careers forward. 92% of learners would recommend our programs, and our net promoter score is consistently in the excellent range. Together, we empower adult learners to confidently pursue the career they’ve always wanted. ABOUT THE COURSE AI for Data Analysis is a course on building a repeatable AI-enabled process for turning data into clear, defensible business recommendations. Managers and operators are drowning in data. Dashboards multiply, metrics pile up, and teams debate instead of act. At the same time, AI has lowered the barrier to working with data, making analysis, visualization, and interpretation accessible to professionals who were never trained as analysts. Designed for professionals (non-data analysts) who regularly work with dashboards, reports, and datasets, this course teaches a structured approach to moving from data to decisions. Learners will frame business problems, identify and query relevant data, direct AI through analytical investigations, and validate outputs—building the judgment needed to determine what is reliable, what is not, and what matters to the business. Learners will move beyond basic prompting to develop core AI competencies for data-driven decision making, including structured problem framing, AI-assisted analysis, output validation, and translating insights into clear recommendations. These capabilities are applied within a repeatable workflow that can be reused across future business problems. Through a hands-on, end-to-end case, learners build this system step by step, culminating in a configured, reusable Claude Project that supports real-world decision-making workflows
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