Senior Coordinator Data Analyst

Who we are

eHealth Africa is a non-profit focused on improving health systems in Africa. Established in 2009, eHA works with governmental and non-governmental partners across Africa to build stronger health systems through the design and implementation of data-driven solutions that respond to local needs and provide underserved communities with tools to lead healthier lives.

We leverage our staff and department expertise across four programmatic areas:

• Public Health Emergency Management
• Disease Prevention and Monitoring
• Laboratory Systems & Diagnostics
• Climate Adaptation in Health, Food Security & Nutrition

In each of these programmatic areas, we partner with governments, communities, nonprofits and other stakeholders to generate holistic solutions, because we believe that every community deserves access to the types of tools that can enable them to lead healthier lives.

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.

Keywords: Data Science, Data Engineering, Machine Learning, GIS, 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:

• 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 GitHhub

Certifications and Licenses

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

Work Environment 
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate, but can become louder at times due to group discussions or activities. eHA is a tobacco-free environment.

eHA Diversity Statement

At eHealth Africa, diversity is integral to who we are. We value and honour diverse backgrounds and experiences, strive to create inclusive and equitable working environments that promote Learning, Fairness, and Opportunities for all.

Above all

We believe strongly in our mission and our core values, and our teams are most successful when they do also.

IMPACT & QUALITY:

We push ourselves to maintain high standards, ensuring that we produce the most meaningful results in everything we do, no matter how big or small.

INNOVATIVE PROBLEM-SOLVING:

We maintain a worldview driven by possibilities, not limitations. We take smart risks and foster an environment where creativity and innovation thrive.

INTEGRITY:

We are honest and truthful in our work. We always do what is right, even when it is not easy. We put our values into practice and hold each other accountable.

We Offer:

• Opportunities for professional development and growth.
• Work in a dynamic and inclusive environment.
• A supportive and collaborative work environment where you can learn and grow.
• An opportunity to be part of a rapidly growing and innovative company.

Other Details

• We welcome applications from all qualified candidates and are especially keen to hear from women who are ready to make an impact. As such, qualified female candidates are strongly encouraged to apply.
• Please note that consideration for employment is contingent upon successful completion of background and reference checks that may include criminal record checks.