Senior Coordinator, Data Analyst at eHealth Africa (eHA)

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.

We are recruiting to fill the position below:

Job Title: Senior Coordinator, Data Analyst

Location: Abuja
Employment Type: Full Time

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

Certifications and Licenses:

• Data Science Certification
• Data Engineering
• Machine Learning Application
• Data Analytics 
• PMI Agile Certified Practitioner (PMI-ACP), AgilePgM- Optional.

Application Closing Date
Not Specified.