Senior Coordinator, Data Analyst at eHealth Africa (eHA)

Job Title: Senior Coordinator, Data Analyst

Location: Abuja

Employment Type: Full Time

About eHealth Africa:

eHealth Africa designs and implements data-driven solutions and technologies to improve health systems for and with local communities. eHA’s technology works in low connectivity settings and uses data to drive decision-making by local governments and partner agencies to get optimum results.

Purpose of the position:

We are seeking a highly skilled and experienced Senior Data analyst to join our organization.
The Senior Data analyst will be responsible for managing, analyzing spatial and non spatial datasets, conducting spatial analysis, and providing strategic insights through data-driven decision-making.
The ideal candidate should have a strong background in data analysis and a deep understanding of statistical methods.
This role requires exceptional skills in advanced data analytics, modeling, the ability to work independently and collaboratively, and a strong attention to detail.

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:

Lead and mentor junior members of the data analysis team, providing guidance and support as needed.
Conduct in-depth data analysis to uncover insights and trends, utilizing advanced statistical methods and techniques.
Develop and implement complex statistical models to support business objectives and drive strategic initiatives.
Collaborate closely with cross-functional teams to understand business requirements and translate them into actionable insights.
Design and create comprehensive data visualizations using tools such as Tableau, Power BI, or Matplotlib.
Stay abreast of industry trends and advancements in data analysis techniques, and make recommendations for continuous improvement.
Act as a subject-matter expert on data analysis best practices, providing guidance and expertise to stakeholders across the organization.
Researches, and evaluates data solutions and libraries, 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
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.
Owning Data Warehouse for Exploration and Growth.
staff meetings, training classes and supervision.
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 Geoinformatics, Statistic, Geomatics, Mining Engineering, Data Analytics or related field
A postgraduate Degree / Master’s degree in Data science, Machine learning modeling
Minimum of proven five (06) years experience as a Data Analyst, preferably in a senior role.
Expert proficiency in SQL, Python, R, or other programming languages commonly used for data analysis and manipulation
Expert in data engineering and has done projects using Python or R programming language(Building pipelines)
Expert in SQL, CQL, ThinkETL, Archetype Query Language (AQL)
Expert in disease modeling with Python or R, spatial disease modeling is a plus
Expert in Machine Learning application using Python or/and R
Expert in SQL, CQL, ThinkETL, Archetype Query Language (AQL)
Strong understanding of advanced statistical methods and techniques, including regression analysis, time series forecasting, and machine learning.
Extensive experience with data visualization tools such as Tableau, Power BI, or matplotlib.
Demonstrated leadership abilities, with prior experience mentoring or leading a team of data analysts.
Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely to both technical and non-technical stakeholders.
Strong problem-solving skills and attention to detail, with a focus on delivering actionable insights.
Excellent analytical and problem-solving skills, with the ability to work with complex datasets.
Ability to work independently and collaboratively in a fast-paced environment.
Attention to detail and a commitment to producing accurate and reliable results.
Demonstrated Knowledge of GIS data principles, practices and Techniques, Cartography and data collection systems.
Advanced computer skills, including Microsoft Windows and Microsoft Office Suite.
Available projects on GitHub