Jobs at eHealth Systems Africa

Purpose of the position

• We are seeking a highly skilled and motivated Data Manager with expertise in analytics and data engineering to lead the design, implementation, and management of data systems.
• The ideal candidate will be responsible for ensuring data integrity, optimizing data pipelines, and delivering actionable insights to support decision-making across the organization.
• This role requires a blend of technical, analytical, and managerial skills to oversee the entire data lifecycle
• Keywords: Data, Engineering, Analytics, Sprint Planning, Capacity building, ODK

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.

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Purpose of the position

• The Coordinator, Data Analytics develops computer interfacing, data conversion, data collection, mobile, web and computer applications using GIS and mobile data collection applications, Leads and coordinates the acquisition of new spatial data and supervises the integration of the data into GIS.

Keywords

• GIS, Project Management, Sprint Planning, Release Planning, Agile, Scrum, Kanban, Lean.

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:

• Establishes database schemas and creates or modifies database tables; participates in data-mapping and conversion of data; extracts and presents data as required. 
• Prepares maps, maintains data sets, and analyses mapping data.
• Maintain and upgrade/update existing Analytics and SharePoint sites.
• Liaising with third party data providers.
• Continuous improvement and generation of analytics sites and SharePoint to provide rapid access to knowledge.
• Maintain existing datasets in SQL, creation of views and linking of information for end users.
• Researches, and evaluates GIS solutions (ESRI), providing recommendations on new technology relevant to exploration and growth.

Data Management :

• SharePoint, Data Analytics, SNL and other mining and markets third party data sources
• The generator of Geospatial Knowledge and Analytics.
• Continuous improvement, keep abreast and apply new technologies that are fit for purpose within the GIS and Analytics fields.
• Develops computer interfacing, data conversion, data collection, mobile, web and computer applications using GIS and mobile data collection applications
• Leads and coordinates the acquisition of new spatial data and supervises the integration of the data into eHA’s GIS. Identifies, understands, and articulates solutions for issues by means of ArcGIS knowledge including ArcGIS for Desktop and other ArcGIS technologies.
• Leads the development and maintenance of customs processes and models to ensure data quality assurance.
• Is consistently at work and on time.
• Participates in and promotes a positive, supportive, cooperative team environment.
• Attends and participates in annual strategic planning meetings, country management meetings,
• Attends partners (EOC) meetings, training classes, and supervision of data processes.
• Adheres to Policies and Procedures.
• Adheres to eHealth Africa Code of Conduct as well as ethical standards of the field.

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 Geology, Geomatics, Mining Engineering, Data Analytics or related field
• Postgraduate Degree is an asset
• 4+ years’ experience in Analytics and Data Management combined with GIS
• Knowledge of or work experience in mining exploration, an asset
• Curious, dynamic and inquisitive with a strong desire for continuous improvement
• Demonstrated experience with SQL, GIS, and knowledge of ArcGIS suite of tools
• Strong data management and SharePoint skills
• Power BI skills or other analytics tools an asset
• Proven attention to detail with a high level of accuracy
• Excellent organizational, time management and office management skills
• Professional Certification in the GIS or related field is an added advantage.
• Significant and advanced GIS 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.
• Strong project management skills, including experience in agile practices and frameworks e.g. Lean, Scrum and Kanban.
• Ability to work on multiple projects simultaneously and deliver within tight timelines, while being flexible in adapting to new roles.
• Working knowledge of project management tools, e.g. Atlassian Jira, Redbooth, etc.
• Understanding of open Source GIS (QGIS, PostGIS and GeoServer), data transformation tools (FME)
• Advanced computer skills, including Microsoft Windows and Microsoft Office Suite.

Certifications and Licenses 

• GIS certification.