Ifeanhealth Nigeria Limited, founded in San-Francisco, California and solely focused on Africa, we are a leading multinational HealthTech company using technology to drive three (3) therapeutic areas: Orthopedics and Musculoskeletal Solutions (Prosthetics and Orthotics), Pharmaceuticals (Woman and Child) and Tissue Restoration (Wound Healing).
We are seeking a detail-oriented and analytical Data Analyst to collect, process, and analyze data to support business decision-making. The ideal candidate will transform complex datasets into actionable insights, create reports and dashboards, and collaborate with stakeholders to improve business performance.
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Key Responsibilities
- Gather, clean, and validate data from multiple sources.
- Analyze large datasets to identify trends, patterns, and business opportunities.
- Develop and maintain dashboards, reports, and visualizations using BI tools.
- Create and automate recurring reports for business stakeholders.
- Perform ad-hoc analysis to answer business questions and support strategic initiatives.
- Collaborate with cross-functional teams to define KPIs and reporting requirements.
- Monitor data quality and ensure data integrity across systems.
- Present findings and recommendations to management in a clear and concise manner.
- Support data-driven decision-making through statistical analysis and forecasting.
- Document data definitions, processes, and analytical methodologies.
Required Qualifications
- Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Economics, or a related field.
- 2–5 years of experience in data analysis or a similar role.
- Strong proficiency in SQL for data extraction and manipulation.
- Experience with data visualization tools such as Tableau or Microsoft Power BI.
- Advanced knowledge of Microsoft Excel.
- Familiarity with Python or R for data analysis.
- Strong analytical and problem-solving skills.
- Excellent communication and presentation abilities.
Preferred Qualifications
- Experience working with cloud platforms such as Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
- Knowledge of statistical modeling and predictive analytics.
- Experience with ETL processes and data warehousing concepts.
- Understanding of data governance and data quality frameworks.
Technical Skills
- SQL
- Excel
- Python / R
- Tableau / Power BI
- Data Visualization
- Statistical Analysis
- Data Cleaning & Transformation
- Reporting & Dashboard Development
- Data Warehousing Concept
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