Senior Data Analyst

Are you eager to use your data expertise to solve meaningful challenges that impact millions of lives across Africa? Are you naturally curious, with an analytical mindset that enables you to extract and manipulate data to propel an organisation towards its ambitious goals? Are you passionate about using data to drive decision-making that transforms lives? Can you envision leveraging your analytical skills to help us scale our impact across Africa? Do you want to be part of a team that's committed to excellence while tackling complex challenges? 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 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 now looking for an experienced Senior Data Analyst to join our data, analytics and BI team. A Senior Data Analyst is a key contributor to the ALX operation, and shall be responsible for leveraging their advanced data skills to solve complex business problems and drive data-driven decision-making within our organisation and those of our clients. The ideal candidate will have a strong background in statistics, machine learning and data analysis, along with a proven track record of delivering impactful insights and solutions.

As the Senior Data Analyst, you will be responsible for: 

RESPONSIBILITIES:

• Maintain and improve upon your knowledge of advanced analytics, communicating data, domain modelling, data governance research ethics, and AI Ethics with the willingness to up-skill others in these competencies.
• Support the ALX teams as an ALX data expert. Co-design, and suggest metrics and data sets that help the ALX teams (administration, learning delivery, learning design, etc.) understand the state of the ecosystem so they can make data-driven decisions.
• Collaborate with cross-functional teams, specifically non-technical teams, to apply domain-driven design, and develop data models to help solve the business’ problems, ensuring that models are integrated into products and services.
• Build and maintain ALX domain data models within the ALX ecosystem to support the ALX data products, such as a Data warehouse, Dashboards, ad-hoc analyses, reports etc.
• Support the ALX technical team as an ALX data expert. Apply your knowledge of all platforms’ operational data to facilitate problem-solving, and strategy. The technical team members have knowledge specific to their product.
• Mentor intern/junior data analysts, data engineers and data scientists, fostering a culture of continuous improvement and innovation.

REQUIREMENTS - ESSENTIAL

• Fluent in SQL and Python with experience with at least one cloud provider’s data services; preferably AWS.
• Qualified experience in a related field, including, but not limited to, Data Science, Business Intelligence & Computer Science.
• 5+ years of experience in data analytics and business intelligence (or related field), with a strong track record of independent research and development.
• Strong technical background, with expertise in SQL databases, data modelling, data warehousing, and business intelligence
• Strong experience in delivery across the lifecycle of data products, adhering to robust