Senior Coordinator, Data Scientist

Who we are

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 smartly uses data to drive decision-making by local governments and partner agencies to get optimum results.

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.

What you’ll do

The Data Scientist is responsible for collecting, analyzing, and interpreting data to inform programmatic decision-making and optimize the performance of projects. The role involves working closely with program teams to ensure that data-driven insights are used to monitor project outcomes, assess impact, and identify areas for improvement:

Tool Development and Automation:

• Developing custom tools: Creating algorithms or software solutions that automate data collection, analysis, or reporting processes, saving time and reducing human error.
• Integration of Data Systems: Ensuring data collected from different project management tools and databases is integrated for easy access and comprehensive analysis.

Data Collection and Preprocessing

• Designing and managing data collection processes: Ensuring data from various sources (surveys, sensors, CRM systems, etc.) is collected efficiently and accurately.
• Data cleaning and preprocessing: Identifying missing or inconsistent data and using techniques to prepare it for analysis. This may involve transforming data formats, handling missing values, or ensuring data is structured properly for analysis.

Data Analysis and Modeling

• Statistical Analysis: Applying statistical techniques to interpret data and derive insights relevant to the project. This can include regression analysis, hypothesis testing, and predictive modeling.
• Machine Learning and Predictive Modeling: Developing and implementing machine learning models to predict outcomes or trends based on project data. These models can be used to forecast project risks, and outcomes, or to improve decision-making.
• Pattern Recognition: Using data mining techniques to detect patterns and trends in large datasets that can influence project outcomes.

Data Visualization and Reporting

• Creating data visualizations: Designing dashboards, graphs, charts, and other visualization tools to present data findings in an understandable format to stakeholders.
• Report Generation: Translating data analysis into comprehensive reports that include actionable insights. This involves simplifying complex data for decision-makers.
• Real-time Monitoring: Implementing systems that allow for real-time tracking and reporting of project metrics, performance indicators, and other critical data points.

Project Performance Monitoring:

• Development of Monitoring and Evaluation models
• Key Performance Indicator (KPI) tracking: Defining and monitoring KPIs related to project success, using data to assess how the project is performing over time.
• Risk Assessment: Using data to identify potential project risks (e.g., delays, budget overruns) and suggesting data-driven solutions to mitigate these risks.

Collaboration with Project Teams:

• Working with stakeholders: Collaborating with project managers, and other team members to understand data needs and ensure data supports project goals.
• Communicating insights: Acting as a bridge between technical data analysis and non-technical stakeholders, ensuring they understand the significance of data-driven insights for project strategy and execution.

Minimum Required Qualifications

• Education: Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Economics, or a related field. A master’s degree is a plus.
• Experience:
  • A minimum of 3–5 years of experience in data analysis, preferably in the international development, non-profit, or social sector.
  • Experience with data management and reporting in programmatic or M&E contexts is highly desirable.
• Technical Skills:
  • Proficiency in data analysis software and tools such as Excel, SPSS, Power BI, TABLEAU, STATA, R, or Python.
  • Strong experience in data visualization and developing dashboards for monitoring program performance.
• Data Management Skills: Experience in managing large datasets, ensuring data accuracy, and maintaining data security standards.
• Communication: Strong written and verbal communication skills, with experience in creating reports and presentations for both technical and non-technical audiences.
• Project Management: Ability to manage multiple data-related projects and deliver quality outputs within tight deadlines.
• Certifications: Certifications in data analysis, data science, or related fields (e.g., Google Data Analytics, Tableau, Microsoft Power BI) are a plus.

eHA Gender Diversity Statement

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

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.

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.

Other Details

• Qualified female candidates are 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.
• Location - Abuja
• Deadline for submission - 15th January 2024

Keywords

Data ScientistData AnalysisData ManagementStatisticsMachine LearningData VisualizationProject ManagementCommunicationMonitoringEvaluation