Live Session Instructor - AI for Data

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.

By the end of the course, learners will leave the course with:

- 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

ABOUT YOU

- 7+ years of experience in business analytics or a related field, with a strong understanding of industry trends and best practices

- Passionate about enabling self-service problem-solving and building confidence in using AI effectively

- Experience applying analytics across multiple industries (e.g., finance, healthcare, business operations, sales)

- Skilled at framing business challenges, structuring solutions, and integrating AI into analytical workflows

- Dedicated to helping others grow, with a focus on making analytical skills accessible to non-technical learners

- Able to guide learners toward practical understanding and real-world problem-solving

- Experienced in setting up and running analyses, including building the necessary artifacts to support projects

- Able to clearly explain the strengths and limitations of different LLMs (e.g., Claude, GPT, Gemini) for data analysis—including common failure modes like hallucinations, calculation errors, and misinterpretation—and ability to teach learners how to critically evaluate, validate, and effectively use AI outputs

- Stays current with the rapidly evolving AI landscape, with a strong commitment to continuous learning and a genuine passion for staying up to date on new tools, trends, and best practices

- Skilled in using tools such as:

- Claude Projects (with an emphasis on demos)

- Excel / Google Sheets

- Gamma

- Google Docs

- Strong communication and interpersonal skills, with the ability to connect with diverse learners

- Confident leading engaging, interactive sessions in a Zoom environment

- Highly organized and detail-oriented, with a strong commitment to preparation

- Able to deliver a high-quality learner experience across a full 5-week program

INSTRUCTOR ROLE OBJECTIVES

- Fully complete the course in advance, gaining hands-on experience with all tools, workflows, and assignments to provide expert-level support to learners throughout the program.

- Help learners apply AI for data analytics skills through hands-on projects, guided builds, and real-world use cases.

- Support learners in troubleshooting, refining, and expanding on the course’s core exercises, demos, and activities by drawing from your own experience building them.

- Inspire learners, build confidence, and foster a strong, practical, and responsible understanding of AI for data analysis

- Drive engagement, retention, and learner success through active, thoughtful facilitation in a highly interactive, application-based learning environment.

OUR LEARNERS

Our learners are ambitious professionals from a wide range of industries, primarily in non-technical business roles. They are motivated to stay current with advancements in AI and data analysis, with a strong focus on developing practical skills that enhance productivity, drive efficiency, and support meaningful career and business growth.

OUR COURSES

Each week, learners:

- Complete on-demand online content created by industry experts featuring scenario-based learning, industry context, and best practices (6-7 hours)

- Apply their skills via a hands-on “Playbook” project (1-2 hours)

- Attend a live session to learn from an industry expert (that’s you!) alongside their classmates (2 hours). Most learners will join your live session having completed the week’s content and started their Playbook assignment. You’re supporting and customizing their learning, not teaching concepts for the first time.

- Connect with classmates on Slack or reach out to our Learner Success team for support.

HOW WE SUPPORT YOU

- Ready-made materials: Receive a full agenda, activity plan, and slide deck to customize—no need to build from scratch.

- Training and onboarding: We'll make sure you're confident with the course tools and expectations.

- Slack & Zoom support: Work alongside a Learner Success Advocate who handles chat moderation, session logistics and grading.

YOUR DUTIES AND TIME COMMITMENT

- Live Sessions (1.5 - 2 hours/week): Facilitate weekly 2-hour Zoom sessions focused on project-based AI workflow learning.

- Preparation (2 hours/week): Customize slide decks, review on-demand content and Playbooks, and prep for discussions.

- Learner Communication (30 mins/week): Participate in course Slack to answer questions and provide guidance.

- Debrief & Improvement (1 hour/term): Join course debriefs with Ziplines team members and instructional designers.

- Total: 4 hours/week for 5 weeks

INSTRUCTOR QUALIFICATIONS

Professional & Technical Expertise

- 7+ years of real-world experience in data or business analysis

- At least 5+ years of experience using AI as a tool for data analysis

- Deep understanding of business applications of AI

- Skilled in tools such as:

- Claude (including Claude Projects)

- Gamma (AI-powered presentation tool) or similar tools for data storytelling

- Spreadsheet tools like Excel or Google Sheets

Communication & Teaching

- Exceptional communicator with the ability to simplify complex AI concepts and data analysis concepts for a non-technical audience.

- Adept at fostering engagement in Zoom-based, adult-learning environments.

- Enthusiastic about mentorship and building learner confidence.

Mindset & Commitment

- Highly organized, dependable, and proactive in session preparation.

- Able to commit to a full 5-week course term.

- Thrives in a collaborative, learner-first environment.

COMPENSATION

- $2,000 per 5-week session

ZIPLINES CORE VALUES

- Focus on outcomes: Students come first—always.

- Be trustworthy: Deliver, be honest, and support the team.

- Be humble: We’re in this together.

- Be curious: Continuous learning drives innovation.

- Be you: Diverse thinking creates opportunity.

To ensure a fair and consistent hiring process, we kindly ask that all applicants submit their applications through our job board rather than reaching out directly via LinkedIn, phone, or email. This helps our recruitment team review every application efficiently and equitably. We truly appreciate your interest in joining our team and look forward to considering your application!

Ziplines, Inc. is proud to be an equal-opportunity employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other protected characteristics under applicable law.