Associate Manager, Data / GIS Analyst at eHealth Systems Africa

eHealth Africa is focused on improving healthcare by creating effective ways to implement reliable health information management systems. We have developed eHealth and mHealth solutions that can be rapidly deployed to manage patient information, streamline clinical procedures, and provide data and analysis on health program outcomes.

Experience7 years
Location Abuja , Lagos

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

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.