Data Scientist
- Role
- Data Science
- Experience
- Mid
- Employment
- Full-time
Open to Anywhere in Africa · UTC+2…UTC+3. Set where you work from to check your eligibility.
No BS summary
Data Scientist / BI analyst with 3–5 years in data science, analytics, or business intelligence. Must be strong in SQL and Python, able to build dashboards in QuickSight, Metabase, or Power BI, and work remotely within Africa on African time zones.
Core skills
Required skills
Optional skills
Do you love turning data into clear answers that move a business forward? Are you fluent in SQL and Python, and do you take pride in building dashboards and reports that people actually use to make decisions? Do you have experience with dashboard building in tools like QuickSight, Metabase, or Power BI? Are you naturally curious, analytical, and driven to understand the story behind the numbers? Do you want your work to directly support a mission that is unlocking tech careers for millions of young Africans? If so, then this might just be the role for you. 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 re-skill 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. Role Summary ALX Africa is looking for a Data Scientist to join our Business Intelligence team. You will build and maintain dashboards, reports, and analytics that turn data into insight across the organisation. Working closely with the BI team and stakeholders, you will write production SQL and Python, design reliable reporting pipelines, and help shape how the business measures and acts on its data. This is a remote role within Africa, working African time zones. Specific Responsibilities Build, maintain, and improve dashboards and reports that give stakeholders clear, timely visibility into performance. Write and optimise SQL and Python to extract, transform, and analyse data from multiple sources. Partner with stakeholders to understand their questions, define metrics, and translate requirements into analytics that drive decisions. Ensure data quality and accuracy through validation, de-duplication, and reconciliation of reporting outputs. Document analyses and reporting logic, and present findings clearly to both technical and non-technical audiences. Skill Requirements - Essential A degree or equivalent qualification in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field. 3-5 years of hands-on experience in a data science, analytics, or business intelligence role. Strong, demonstrable SQL skills, including writing complex queries and working with large datasets. Proficiency in Python for data analysis, manipulation, and automatio Proven experience building dashboards and reports in tools like QuickSight, Metabase, or Power BI. A strong eye for data quality and accuracy, with the ability to communicate insights clearly to non-technical stakeholders. Skill Requirements - Preferable Dedicated business intelligence experience, including ownership of reporting or analytics in a previous role. Experience with data engineering or building and maintaining data pipelines. API integration and automation experience would be a plus. Exposure to statistical modelling, forecasting, or machine learning techniques. Experience working in a remote, distributed team across multiple time zones. Person Specification/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. Rigour: A commitment to accuracy, attention to detail, and getting the numbers right. Employment Type This role is a full-time position Preferred Time Zones The preferred time zones are SAST / CAT / EAT (GMT +2 to GMT +3) Due to the considerable amount of virtual working and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethic to succeed working in small teams physically but in larger efforts virtually. Self-drive to communicate constantly using web collaboration and video conferencing is essential. As an employee, you will be encouraged to continually develop your capability & attain certifications to reflect your growth as an individual.
What you'll do
- Build, maintain, and improve dashboards and reports that give stakeholders clear, timely visibility into performance.
- Write and optimise SQL and Python to extract, transform, and analyse data from multiple sources.
- Partner with stakeholders to understand their questions, define metrics, and translate requirements into analytics that drive decisions.
- Ensure data quality and accuracy through validation, de-duplication, and reconciliation of reporting outputs.
- Document analyses and reporting logic, and present findings clearly to both technical and non-technical audiences.
What they require
- A degree or equivalent qualification in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field.
- 3-5 years of hands-on experience in a data science, analytics, or business intelligence role.
- Strong, demonstrable SQL skills, including writing complex queries and working with large datasets.
- Proficiency in Python for data analysis, manipulation, and automatio
- Proven experience building dashboards and reports in tools like QuickSight, Metabase, or Power BI.
- A strong eye for data quality and accuracy, with the ability to communicate insights clearly to non-technical stakeholders.
- Preferred: Dedicated business intelligence experience, including ownership of reporting or analytics in a previous role.
- Preferred: Experience with data engineering or building and maintaining data pipelines.
- Preferred: API integration and automation experience would be a plus.
- Preferred: Exposure to statistical modelling, forecasting, or machine learning techniques.
- Preferred: Experience working in a remote, distributed team across multiple time zones.
- 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.
- Rigour: A commitment to accuracy, attention to detail, and getting the numbers right.
- The preferred time zones are SAST / CAT / EAT (GMT +2 to GMT +3).
- Due to the considerable amount of virtual working and interaction with colleagues and customers in different physical locations internationally, it is essential that the successful applicant has the drive and ethic to succeed working in small teams physically but in larger efforts virtually.
- Self-drive to communicate constantly using web collaboration and video conferencing is essential.
Benefits
- As an employee, you will be encouraged to continually develop your capability & attain certifications to reflect your growth as an individual.
ALX Africa, a non-profit organisation under the ALX Foundation, is dedicated to unlocking the potential of Africa's digital future. It provides tech skills training and career acceleration programmes, with hubs in 8 cities across Africa, preparing learners for roles in software engineering, data science, and cybersecurity.