Business Intelligence Associate

Reliance Health’s mission is to make quality healthcare delightful, affordable, and accessible in emerging markets. From Nigeria, Egypt, Senegal and beyond, we offer comprehensive health plans tailored to both employers’ and employees’ needs through an integrated approach that includes telemedicine, affordable health insurance, and a combination of partner and proprietary healthcare facilities. By leveraging advanced technology, we are transforming the healthcare landscape, making it more efficient and accessible for everyone.

We are currently hiring a Business Intelligence Associate who will partner with business divisions to understand analytics needs, build data models, and create dashboards, reports, and visualizations using tools like Tableau or Power BI. Working with large datasets in SQL and Python, they ensure data quality, extract actionable insights, and communicate them clearly to technical and non-technical audiences. The ideal candidate combines strong technical skills with the ability to translate complex data into business value and thrive in a collaborative, fast-paced environment.

As a Business Intelligence Associate, you will do the following:

• Work with stakeholders to identify data analytics needs for different business units.
• Use data software tools such as Power BI, Tableau, or similar to develop reports and dashboards.
• Perform complex data modelling and design effective data analysis methodologies.
• Report findings to internal stakeholders and partner with cross-functional (XFN) teams to identify business improvement opportunities.
• Build dashboards, reports, and visualizations to extract and communicate insights.
• Identify and resolve data quality issues.
• Support and train end users on data exploration and self-service analytics.
• Promote a data-driven culture across the organization.
• Perform data profiling to detect anomalies and trends.
• Conduct statistical analysis and apply techniques such as classification, clustering, regression, and time series.
• Ensure compliance with data protection and privacy laws in all analytics processes.