Associate Manager, Data/GIS Analyst at eHealth Systems Africa

What you'll do

• To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. Other duties may be assigned:

Data Management

• Conduct spatial analysis and develop geospatial models to identify patterns, trends, and relationships within the data.
• Oversee data collection, storage, and retrieval processes to ensure accuracy, security, and availability.
• Develop and enforce data management policies, procedures, and standards.
• Manage data governance initiatives to ensure compliance with legal and regulatory requirements.
• Maintain a centralized data repository and ensure its scalability and efficiency.
• Design and implement advanced analytics solutions to support organizational goals.
• Develop dashboards, reports, and data visualizations to present insights to stakeholders.
• Perform data mining, statistical analysis, and predictive modeling to address complex business questions.
• Collaborate with cross-functional teams to identify data-driven opportunities for improvement.

Data Engineering

• Build and maintain robust ETL pipelines to streamline data integration from multiple sources.
• Optimize data architecture and workflows to ensure performance and scalability.
• Work with cloud-based data platforms and tools (e.g., AWS, Azure, GCP) for storage, processing, and analytics.
• Implement data quality frameworks to monitor and enhance the reliability of datasets.

Team Collaboration and Leadership

• Lead and mentor a team of data analysts and engineers, fostering a collaborative and innovative work environment.
• Coordinate with IT, business Development, and external partners to align data strategy with organizational objectives.
• Provide training and support to stakeholders on data tools and best practices.

Who you are

The requirements listed below are representative of the knowledge, skill and/or ability required to successfully perform this job.

• Bachelor’s Degree in Geoinformatics, Statistic, Geomatics, Mining Engineering, Data Analytics or related field
• A postgraduate Degree / Master's degree will be an added advantage.
• Minimum of proven seven (7) years experience as a Data Analyst or GIS Analyst, preferably in a senior role.
• Proficiency in statistical analysis software such as R, Python, or SAS
• Expertise in SQL and database systems (e.g., PostgreSQL, MySQL, or NoSQL databases).
• Experience with cloud platforms (e.g., AWS, Azure, or GCP) and big data tools (e.g., Hadoop, Spark).
• Familiarity with workflow management tools (e.g., Apache Airflow, Luigi).
• Strong understanding of data modeling, Databricks, ETL processes, and APIs.
• Experience in data visualization (Tableau, Power BI, Look studio) and creating maps using GIS software.
• Solid understanding of data management principles, including data cleaning, normalization, and transformation.
• Significant and advanced statistical experience may substitute for the Master’s degree.
• Relevant working experience in an NGO is desirable. Demonstrated Knowledge of GIS data principles, practices and Techniques, Cartography and data collection systems.
• Advanced computer skills, including Microsoft Windows and Microsoft Office Suite.

Certifications and Licenses

• Certification in cloud services (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate).
• Experience in AI/ML models and frameworks.
• Familiarity with big data platforms and real-time streaming.
• Data Science Certification
• PMI Agile Certified Practitioner (PMI-ACP), AgilePgM- Optional