Job oppotunity : Senior Coordinator Data Analyst at eHealth Systems Africa|Apply now

Mar 13, 2025 - 19:49
Mar 13, 2025 - 20:16
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Job oppotunity : Senior Coordinator Data Analyst at eHealth Systems Africa|Apply now

Senior Coordinator Data Analyst at eHealth Systems Africa

eHealth Africa is dedicated to enhancing healthcare systems by implementing innovative health information management solutions. The organization specializes in eHealth and mHealth technologies designed to streamline patient data management, optimize clinical processes, and provide actionable insights into health program outcomes.

Location: Abuja

Role Overview:

We are seeking an experienced and highly skilled Senior Data Analyst to join our team. The ideal candidate will be responsible for managing and analyzing spatial and non-spatial datasets, conducting advanced data analysis, and delivering strategic insights to support data-driven decision-making. This role requires expertise in statistical methods, data modeling, and the ability to work both independently and collaboratively.

Key Responsibilities:

  • Lead and mentor junior data analysts, offering guidance and support to foster team growth.
  • Perform in-depth data analysis to identify trends and insights using advanced statistical techniques.
  • Develop and implement complex statistical models to support organizational goals and strategic initiatives.
  • Collaborate with cross-functional teams to understand business needs and translate them into actionable insights.
  • Design and create comprehensive data visualizations using tools like Tableau, Power BI, or Matplotlib.
  • Stay updated on industry trends and advancements in data analysis, recommending improvements to enhance processes.
  • Serve as a subject-matter expert on data analysis best practices, providing guidance to stakeholders across the organization.
  • Evaluate and recommend new data solutions and technologies to drive exploration and growth.
  • Manage geospatial knowledge and analytics, ensuring continuous improvement and application of new technologies.
  • Oversee data warehouse operations for exploration and growth initiatives.
  • Participate in staff meetings, training sessions, and supervision activities.
  • Adhere to organizational policies, procedures, and ethical standards.

Qualifications:

  • Bachelor’s degree in Geoinformatics, Statistics, Geomatics, Mining Engineering, Data Analytics, or a related field.
  • A postgraduate degree (Master’s) in Data Science, Machine Learning, or a related discipline is preferred.
  • Minimum of 5–6 years of proven experience as a Data Analyst, with prior experience in a senior role.
  • Proficiency in SQL, Python, R, or other programming languages for data analysis and manipulation.
  • Expertise in data engineering, including building pipelines using Python or R.
  • Strong knowledge of disease modeling (spatial disease modeling is a plus) and machine learning applications.
  • Advanced skills in SQL, CQL, ThinkETL, and Archetype Query Language (AQL).
  • Experience with data visualization tools such as Tableau, Power BI, or Matplotlib.
  • Strong understanding of advanced statistical methods, including regression analysis, time series forecasting, and machine learning.
  • Demonstrated leadership abilities with experience mentoring or leading a team.
  • Excellent communication and presentation skills, with the ability to convey complex information to both technical and non-technical stakeholders.
  • Strong problem-solving skills, attention to detail, and a commitment to delivering accurate results.
  • Knowledge of GIS principles, cartography, and data collection systems.
  • Advanced computer skills, including proficiency in Microsoft Windows and Office Suite.
  • A portfolio of available projects on GitHub is a plus.

Certifications (Preferred):

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

How to Apply:

  • Interested and qualified candidates are encouraged to apply through the eHealth Systems Africa career portal at ehealthafrica.bamboohr.com.
  • Join eHealth Africa and contribute to transformi
  • ng healthcare through innovative data-driven solutions!

Method of Application  

Interested and qualified? Go to eHealth system africa on

ehelthafrica.bomboohr.com to apply