<aside> <img src="/icons/city_gray.svg" alt="/icons/city_gray.svg" width="40px" /> Ustackschool

</aside>

<aside> <img src="/icons/row_gray.svg" alt="/icons/row_gray.svg" width="40px" /> Table of Contents

</aside>

<aside> <img src="/icons/flash_gray.svg" alt="/icons/flash_gray.svg" width="40px" /> Apply Now!

</aside>

About Us

A cutting-edge business and technology school dedicated to empowering students with the skills and knowledge needed to thrive in the fast-evolving world of technology. Our programs focus on hands-on learning, industry-relevant curriculum, and collaboration with leading tech companies to ensure students are job-ready upon graduation.

UstackSchool is a multi-award winning edtech career Company that empowers students (local & international students) and professionals (aspiring career professionals, Junior to Mid-Level professionals, Rising to leadership, founders and entrepreneurs) to build, grow a career and excel in the competitive global job market and secure their their dream jobs and dream lives through Career guidance, hands-on learning/support, building skills , upskilling and Career value creation.

https://www.ustackschool.com/

About the Role

This role is a strategic and hands-on teaching position for someone passionate about mentoring and guiding learners in the fields of data analysis, business intelligence, and data-driven decision-making.

You will think like a data professional, communicate like an educator, and design learning experiences that translate real-world data challenges into actionable skills. Your work will empower learners to analyze, interpret, and apply data insights that drive business success.

• Location: Nigeria
• Job Hours: 8am to 5pm
• Employment Type: Contract
• Experience level: Experienced
• This role is fully Remote
• Flexible working schedule
• Timezone is West Africa Time (WAT) UTC +1 and Central Standard Time (CST) UTC -6
• CST Timezone Requirements: 4-hour overlap is required once weekly from 1pm–5pm CST (7pm–11pm WAT)
• Community sessions may include Saturday evenings or Sundays
• Monthly performance review every first Saturday of the month.
• Class Schedule is 9am to 12pm Saturday, 3pm to 6pm Saturday and 6pm to 9pm Sunday's

Position Overview

As a Data Analysis & Business Intelligence Instructor, you will design, deliver, and continuously refine learning programs that prepare students for careers in data analysis and analytics. You will mentor learners through practical projects, real-world case studies, and simulations, bridging theory with hands-on practice. Working with curriculum designers and program leads, you will align lessons with industry standards, in-demand tools, and measurable learner outcomes.

Who You Are

• A proactive, action-oriented educator who thrives with minimal supervision.
• A problem-solver who can simplify complex data concepts into learner-friendly lessons.
• Learner-focused, deeply understanding student needs and career goals.
• Collaborative, inclusive, and committed to creating engaging and practical learning experiences.
• Strong communicator, detail-oriented, and adaptable in dynamic environments.
• Humble, hardworking, ambitious, and dedicated to continuous learning.

Key Responsibilities

Curriculum Design & Delivery

• Develop and maintain a comprehensive, data-focused curriculum covering data collection, cleaning, visualization, analysis, and reporting.
• Design interactive workshops, case studies, and capstone projects simulating real-world data analysis scenarios.
• Incorporate industry-standard tools such as Excel, SQL, Power BI, Tableau, and Python (pandas, NumPy, matplotlib, seaborn).
• Build a progressive learning pathway that scales from fundamentals (data literacy) to advanced analytics (predictive and prescriptive analysis).

Learner Mentorship & Coaching

• Guide students through practical data projects, including exploratory analysis, dashboard creation, and business reporting.
• Conduct one-on-one mentoring sessions with constructive feedback on learner assignments and portfolios.
• Foster a growth mindset, encouraging experimentation, iteration, and real-world problem-solving.
• Track learner progress with KPIs, project outcomes, and competency-based assessments.

Hands-On Data Analysis Simulations

• Lead data hackathons, mini-projects, and simulations to reinforce learning outcomes.
• Coach learners on data storytelling, visualization best practices, and insight communication.
• Demonstrate real-world trade-offs in data accuracy, efficiency, and business decision-making.

Collaboration & Community Engagement

• Work with curriculum and program teams to keep content updated with the latest tools and practices.
• Facilitate group projects, peer reviews, and community sessions to boost learner engagement.
• Collaborate with industry professionals and alumni for guest lectures, networking, and mentorship opportunities.

Assessment & Continuous Improvement

• Evaluate student projects and capstones with structured rubrics and clear feedback.
• Use learner feedback, surveys, and analytics to continuously improve course delivery and content.
• Stay current with emerging data tools, frameworks, and methodologies.

Metrics & Reporting

• Monitor and report on learner performance, engagement, and completion rates.
• Share insights with program leadership to enhance curriculum effectiveness.
• Maintain accurate records of learner outcomes, progress, and teaching impact.

Our Culture

Embody Our Culture and Values - Live Our Culture Through Actions

• Take Ownership – Own outcomes with initiative and long-term thinking with minimal supervision, acting in the best interest of the entire organisation.
• Customer Obsession & Success – Put customers at the heart of every decision to deliver value, build trust, and drive lasting growth.
• Execute with Excellence – Deliver high-quality results with precision, accountability, and minimal iterations for lasting impact.
• Action-Oriented Mindset – Make fast, informed decisions using logic, proxies, and experimentation to maintain business agility.
• Learning & Iteration – Embrace continuous learning, challenge assumptions, and improve through collaborative iteration and agile practices.
• Inclusive & Diverse – Champion equity and respect to create a culture where everyone can thrive and contribute fully.

Qualifications

Selection Requirements:

• 3+ years of professional work experience in Data Analysis
• Teaching or mentoring experience: Working or volunteering at tech boot camps, and training schools, and experience as a tutor, mentor or online instructor are all great experiences.
• Fluent in English.
• Familiarity with online teaching, Learning Management Systems (LMS), or content management systems (CMS).
• Ability to explain complex topics in a non-technical way.
• Love for the fast-paced culture with the ability to self-organise and manage your work
• Strong technical and information literacy skills
• Comfortable with communicating with large and small groups of people and have a desire to guide students in an empathetic manner.
• Prepared to share personal insights into the industry and profession with students
• Able to learn on the fly.

Compensation

<aside> 💡

• ₦100,000 - ₦150,000 depending on experience and qualifications. </aside>

Our Benefits

<aside> 💡

</aside>

Apply here

<aside> 💡

</aside>