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ALX Africa

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👥 10001-350000IT Services and IT Consulting
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🔥 Senior Data Analyst
Posted 28 days ago

📍 GMT to GMT+4 time zone

🧭 Full-Time

🔍 Non-profit education and tech training

  • Education: A Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).
  • Experience: 5-7 years of data analysis experience, with at least 2-3 years in a senior or lead role in a relevant industry.
  • Technical Proficiency: Advanced proficiency in data analysis tools (SQL, Python, R, or similar); Expertise in Microsoft Office, particularly Excel, PowerPoint, and Word; Experience with data visualization tools (Tableau, Power BI, etc.).
  • Data Management: Extensive experience in extracting, managing, and manipulating data from various source systems (APIs, CRM, databases).
  • Data Analysis & Interpretation: Advanced ability to analyze and interpret complex data sets, deriving actionable insights.
  • Data Visualization: Ability to present complex data clearly and effectively through visualizations and dashboards.
  • Communication: Strong written and verbal communication skills, with the ability to present complex findings in clear, accessible reports and presentations.
  • Project Management: Strong organizational and project management skills, with experience leading data-driven initiatives and managing priorities to meet deadlines.
  • Attention to Detail: Exceptional attention to detail, ensuring the highest level of accuracy in all analysis and reporting.
  • Lead the collection, analysis, and interpretation of data related to learner and graduate performance.
  • Evaluate the effectiveness of communication platforms and learning content, providing actionable insights and recommendations for improvement.
  • Collaborate with teams to design and implement community-building experiences and events based on data-driven insights.
  • Develop and manage live, automated data systems and dashboards.
  • Deliver weekly and daily data analysis reports, particularly during program activation phases.
  • Support the design and execution of data-driven strategies to enhance learner engagement and satisfaction.
  • Mentor and guide junior analysts, sharing knowledge and best practices to elevate team performance.

Project ManagementPythonSQLData AnalysisMicrosoft Power BITableauData visualizationData management

Posted 28 days ago
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🔥 Impact Product Manager
Posted 28 days ago

🧭 Full-Time

🔍 Non-profit, education, technology

  • 5+ years of data product management experience, with knowledge in building data pipelines and analytics platforms.
  • Experience in Business Intelligence and SQL; ability to derive insights from raw datasets.
  • Track record of solving complex analytical problems using advanced methods.
  • Familiarity with reporting tools like Tableau, Looker, or AWS Quicksight.
  • Skills in defining and refining Data & Analytics requirements for technical Data Stories.
  • Knowledge of analytics/data engineering best practices and tools in the modern data stack including dbt, Redshift, Airbyte.
  • Self-starter with problem-solving abilities and strong communication skills.
  • Experience with geographically distributed teams and managing remote projects is a plus.
  • Bachelor’s or higher degree in business management or related fields or STEM with a Master’s in business management.
  • Define and communicate a compelling product vision for impact tracking aligned with organizational goals.
  • Design and implement frameworks for tracking outcomes across the talent journey.
  • Standardize impact success metrics with business stakeholders and maintain a data dictionary.
  • Enhance real-time impact tracking dashboard with interactive visualizations and reports.
  • Foster an iterative product development process based on stakeholder feedback.
  • Oversee the data lifecycle, managing the data roadmap and source consolidation.
  • Ensure data availability for all stakeholders with necessary compliance and privacy measures.
  • Champion data literacy and a data-driven culture within the organization.
Posted 28 days ago
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🔥 Full Stack Business Intelligence Architect
Posted 28 days ago

📍 GMT to GMT+4

🧭 Full-Time

🔍 Non-profit education and technology training

  • 10+ years of experience in data warehousing development, including ETL design and implementation.
  • Expertise in SQL programming and relational database systems (e.g., SQL Server, PostgreSQL, AWS Redshift).
  • Strong experience with report development tools such as Power BI, Tableau, QuickSight, or Excel.
  • Extensive knowledge of dimensional data modelling, data storytelling, and data visualization techniques.
  • Fluent in written and spoken English.
  • Design, implement, and maintain our Data Warehouse and Data Lake infrastructure.
  • Build end-to-end BI solutions, including data visualization, data modelling, ETL processes, and data warehousing.
  • Ensure high standards of data quality, security, and compliance across all platforms.
  • Lead the architecture design process for BI and analytics solutions.
  • Support and advise product and project managers on technical aspects of data solutions.

AWSPostgreSQLPythonSQLETLMicrosoft Power BISparkData visualizationData modeling

Posted 28 days ago
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🔥 Data Warehouse Technical Lead
Posted 28 days ago

📍 GMT to GMT+4 time zone

🧭 Full-Time

🔍 Education technology

  • 10+ years of experience in data warehousing, including ETL architecture and development.
  • 5+ years of experience as a technical lead or architect in data teams.
  • Expertise in architecting and managing large-scale Data Warehouses and Data Lakes.
  • Proficiency in SQL, relational databases (e.g., SQL Server, PostgreSQL, AWS Redshift), and dimensional data modelling.
  • Hands-on experience with BI tools like Power BI, Tableau, or QuickSight.
  • Strong problem-solving and analytical skills with a keen eye for detail.
  • Familiarity with modern data tools such as DBT, AWS Glue, and S3.
  • Excellent communication skills and proficiency in data storytelling through visualisations.
  • Lead and mentor a team of data engineers, analysts, and scientists to deliver world-class data solutions.
  • Architect, design, and implement a robust Data Warehouse and Data Lake.
  • Build and maintain scalable, near-real-time data pipelines and workflows.
  • Develop end-to-end BI solutions, including data modelling, visualization, and ETL processes.
  • Ensure the highest standards of data security, quality, and compliance across systems.
  • Collaborate with cross-functional teams to define and deliver on data requirements.
  • Stay ahead of emerging trends and technologies, driving their adoption to enhance our data infrastructure.

AWSPostgreSQLPythonSQLETLMicrosoft Power BIData engineeringSparkData visualizationData modelingData analytics

Posted 28 days ago
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