Data Analytics Instructor (Remote) at a Reputable Training Academy

We’re not just a training academy — we’re reimagining the way people learn, grow, and succeed. Traditional training is outdated. We’re building a new kind of learning experience — one that’s immersive, practical, and designed for real-world impact. Our approach blends hands-on projects, mentorship from industry leaders, and personalized growth pathways to equip learners with the skills, confidence, and mindset they need to thrive in today’s fast-changing world.

We are recruiting to fill the position below:

Job Title: Data Analytics Instructor

Location: Nigeria
Employment Type: Contract, Remote
Job Hours: 8am to 5pm
Experience level: Experienced
Flexible working schedule

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.
• This role is fully Remote
• Timezone: 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.

Key Responsibilities
Curriculum Design & Delivery:

• Develop and maintain a comprehensive, data-informed product management curriculum covering strategy, discovery, execution, growth, and analytics.
• Design interactive workshops, hands-on exercises, case studies, and capstone projects that simulate real-world product challenges.
• Incorporate modern product frameworks (e.g., AARRR, North Star Metrics, OKRS) and tools (Mixpanel, GA4, Amplitude, Jira, Figma).
• Build and maintain a progressive learning roadmap that scales from fundamentals to advanced product management.

Learner Mentorship & Coaching:

• Guide students through practical product exercises, including market research, roadmap creation, prioritization, and experimentation.
• Conduct one-on-one mentoring sessions to provide actionable feedback on learner projects.
• Foster a growth mindset, encouraging iteration, experimentation, and reflective learning.
• Track learner progress using KPIs, project outcomes, and competency metrics.

Hands-On Product Simulations:

• Lead simulated product sprints and experiments to reinforce learning objectives.
• Coach learners on analyzing user behavior, funnel optimization, and growth experimentation.
• Demonstrate real-world decision-making and trade-offs in product strategy, UX, and analytics.

Collaboration & Community Engagement:

• Partner with curriculum and content teams to update courses with latest industry trends and tools. • Facilitate community sessions, group projects, and peer reviews to strengthen learner engagement.
• Collaborate with alumni and industry partners to provide guest sessions, mentorship, and networking opportunities.

Assessment & Continuous Improvement:

• Evaluate learner submissions, projects, and capstone deliverables with structured rubrics.
• Use feedback loops, surveys, and performance metrics to improve course content and delivery.
• Stay up-to-date with emerging product trends, tools, and frameworks to ensure learning remains relevant.

Metrics & Reporting:

• Track and report on learner engagement, satisfaction, and outcomes.
• Provide leadership with actionable insights for curriculum improvement and student success.
• Maintain clear records of learner progress, cohort metrics, and teaching impact.

Who You Are

• A proactive, action-oriented educator with minimal supervision required, passionate about mentoring and guiding students.
• A problem-solving thinker who can simplify complex product challenges for learners.
• Customer-obsessed, understanding both product users and learners' needs.
• Highly collaborative, inclusive, and committed to creating engaging learning experiences.
• Strong communicator, detail-oriented, and adaptable in dynamic environments.
• Humble, hardworking, ambitious, and committed to lifelong learning.

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.

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.

Compensation

• N100,000 - N150,000 depending on experience and qualifications.

Our Benefits:

• Competitive salary package
• Flexible working schedule
• Remote work options
• Performance-based bonuses ONLY if companies target is met
• Office based perks.

Application Closing Date
Not Specified.

How to Apply
Interested and qualified candidates should:
Click here to apply online