Job Opportunities at eHealth Systems Africa

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 (05) 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

go to method of application »

• eHA is currently implementing the WHO PQS Field Evaluation of the Indigo vaccine carrier and supporting various projects in Borno State. The WHO PQS field evaluation is designed to assess the field performance of the Indigo vaccine carrier to ensure its performance is according to the specifications when used in field settings and to assess the system dynamics of its use when integrated into EPI protocols under EPI management. This evaluation will help determine the potential impact of the vaccine carrier on future initiatives and scaling. eHA is collaborating with the Borno State Primary Healthcare Development Agency for these projects.
• The role of the Independent Data Analyst is paramount in providing an impartial and detached view of the outcomes of the WHO PQS field evaluation, thereby enhancing the credibility and effectiveness of the evaluation process. By offering expertise in data analysis and interpretation, the Independent Data Analyst ensures that evaluation outcomes are accurately and objectively reported, fostering transparency and trust among stakeholders.

Revised TOR Key Responsibilities:

Data Analysis and Interpretation:

• Conduct data analysis from the field evaluation of the Indigo vaccine carrier with an independent and objective perspective, minimizing the risk of bias in interpretation.
• Interpret data to provide insights into the performance, usage, and impact of the Indigo system, leveraging the advantage of an impartial viewpoint to uncover meaningful patterns and trends.
• Ensure the accuracy and reliability of data analysis, adhering to the highest standards of quality and integrity, thereby enhancing the credibility of evaluation outcomes.

Reporting:

• Prepare comprehensive reports detailing the findings from the field evaluation, incorporating the insights derived from independent analysis to strengthen the credibility and trustworthiness of the reports.
• Assist in the coordination and preparation of the final evaluation report for WHO PQS submission, ensuring alignment with independent analysis to reinforce the validity of the conclusions.

Support for Field Evaluation:

• Provide independent analytical support to ensure compliance with WHO PQS field evaluation requirements and procedures, mitigating the risk of bias in data collection and analysis.
• Collaborate with field consultants and project managers to ensure data integrity and consistency throughout the evaluation process, leveraging the advantage of an impartial perspective to uphold the rigor of the evaluation.

Quality Assurance:

• Ensure that all data analysis processes meet the highest standards of quality and accuracy, leveraging the expertise of an independent analyst to identify and rectify any errors or inconsistencies.
• Implement best practices for data management and analysis, leveraging the advantages of independent oversight to enhance the reliability and robustness of evaluation outcomes.

Collaboration and Communication:

• Collaborate closely with the Project Manager and other stakeholders to align independent data analysis with project objectives, fostering transparency and accountability in decision-making processes.
• Maintain routine communication with eHA staff and partners to ensure effective utilization of evaluation findings, leveraging the advantage of impartial analysis to facilitate constructive dialogue and action.

Technical Support:

• Offer technical support in data collection methods and tools to improve accuracy and reliability, leveraging the expertise of an independent analyst to enhance the quality and validity of evaluation data.
• Assist in troubleshooting any issues related to data collection and analysis, leveraging the advantage of independent oversight to address challenges promptly and effectively.

Other Duties:

• Perform any other duties deemed appropriate by the Project Manager and the eHA Executive Director to support the successful execution of the evaluation, leveraging the expertise of an independent analyst to enhance the credibility and effectiveness of evaluation activities.

Deliverables:

• WHO PQS Field Evaluation Analysis: Provide an independent and comprehensive analysis of the field evaluation data to assess the performance, usage, and impact of the Indigo vaccine carrier, enhancing the credibility and reliability of evaluation outcomes.
• WHO PQS Field Evaluation Report: Deliver a detailed report based on the field evaluation analysis, prepared in compliance with WHO PQS standards and requirements, incorporating the insights derived from independent analysis to strengthen the validity and robustness of the report.

Qualifications & Experience

• Advanced degree in Public Health, Epidemiology, Statistics, Data Science, or a related field.
• Proven Seven (07) years experience in data analytics, preferably in public health or related fields.
• Proficiency in statistical software (e.g., SPSS, Stata, R) and data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Ability to work independently and as part of a team.
• Experience in conducting field evaluations and working in low-resource settings is an advantage.