Freelance Technical Mentor (Data) at ALX Africa

Johannesburg, Gauteng, South Africa -

Full Time

Start Date

Immediate

Expiry Date

18 Dec, 25

Salary

0.0

Posted On

19 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Data Science, Data Engineering, Mentoring, Workshop Facilitation, Problem-Solving, Communication, Interpersonal Skills, Statistical Modeling, Machine Learning, Data Cleaning, Data Visualization, Curriculum Delivery, Technical Guidance, Feedback, Assessment

Industry

education

Description

Employment Type: This role is a freelance position. Work Hours: The required work hours are 15-20 hours per week, with a minimum of 2 days in-person at the Johannesburg hub. Are you passionate about empowering emerging Data Learners through effective mentorship and practical learning? ALX is seeking a Technical Mentor with strong technical skills who can clearly communicate complex data concepts, use data-driven approaches to assess learner progress, and drive continuous improvement in educational outcomes. If you have strong data knowledge and background in teaching data concepts, this role offers the chance to make a significant impact on the data learner community. ABOUT ALX AFRICA ALX Africa, a non-profit organisation under the ALX Foundation, is dedicated to unlocking the potential of Africa's digital future. Formerly part of Sand Tech Holdings, we've embarked on an independent journey to provide world-class tech skills training and career acceleration programmes. Our mission is to bridge the digital divide, upskill and reskill talent, and create a generation of innovative leaders. By 2030, we aim to empower 2 million Africans to secure sustainable tech careers. With hubs in 8 cities across Africa and counting, we provide safe access to quality learning and a dedicated network of expert instructors. Our innovative programmes equip learners with the practical skills and knowledge needed to succeed in today's rapidly evolving tech industry. Through a combination of rigorous coursework, industry partnerships, and hands-on projects, we prepare our students for in-demand roles in software engineering, data science, and cybersecurity. We achieve this by: Providing young professionals with access to the most in-demand tech skills that will power the future. Empowering the next generation of technology innovators, entrepreneurs, and business leaders through challenging, real-world coursework. Building a lifelong, impactful community of tech professionals that support them at all stages of their career journey. Visit our website www.alxafrica.com to learn more about our digital revolution. ABOUT THE ROLE ALX Africa is seeking a Freelance Technical Mentor (Data) to provide expert guidance and support to learners, helping them develop practical data skills to advance their careers. This role involves engaging with a global community of aspiring data professionals, fostering growth and continuous learning, based in person at our Johannesburg hub. RESPONSIBILITIES Learning Support: Mentor learners individually and in groups in-person and online by simplifying complex data concepts and guiding them through practical applications. Curriculum Delivery Support: Support program delivery with hands-on projects and examples across digital and in-person platforms. Facilitate interactive workshops and foster a collaborative, inclusive learning environment that supports community-building. Technical Guidance: Support learners in coding, statistical modeling, machine learning, and data engineering fundamentals. Project Coaching: Guide learners in applying skills to practical projects, including data cleaning, visualization, and building end-to-end solutions. Problem-Solving: Help learners troubleshoot technical issues, clarify concepts, and build confidence in tackling challenges. Feedback and Assessment: Use data-driven insights to monitor learner progress, provide actionable feedback and continuously improve learning outcomes. Industry Expertise: Stay up-to-date on industry trends and best practices to share and advance learner skillset. Reporting: Track and report learner engagement and success metrics. REQUIREMENTS Essential Data proficiency in at least two of the following areas: Data Analytics (Excel, SQL, Power BI, Tableau, etc.) Data Science (Python, R, machine learning, statistics, etc.) Data Engineering (ETL processes, cloud platforms, databases, etc.) Proven ability to simplify complex technical concepts and effectively mentor learners from diverse backgrounds. Experience facilitating interactive workshops or training sessions. Strong analytical and problem-solving skills with a data-driven approach to monitoring learner progress and improving outcomes. Excellent communication and interpersonal skills to motivate and engage learners. Preferable Familiarity with learning management systems and digital content delivery platforms. Background in career coaching or learner development. Prior experience in an educational or mentorship role within a tech or data-focused environment. Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering or a related field with a strong analytical or numerical focus. Person Attributes Courage: Willingness to speak up, challenge the status quo, and embrace new challenges. Humility: Openness to learning, seeking help when needed, and a focus on serving others. Adventure: A passion for setting ambitious goals, tackling difficult tasks, and finding joy in the journey. Initiative: Proactive problem-solving, a sense of ownership, and a willingness to go above and beyond. Resilience: The ability to bounce back from setbacks, persevere through challenges, and emerge stronger. Patience: The capacity to remain calm and supportive while guiding learners through complex or challenging concepts. Disclaimer: ALX Africa does not charge fees or request payments at any stage of hiring. Be cautious of anyone claiming otherwise. Report suspicious activity to hiring@alxafrica.com --

Responsibilities

The Technical Mentor will provide expert guidance and support to learners, helping them develop practical data skills. This role involves mentoring learners individually and in groups, simplifying complex data concepts, and guiding them through practical applications.