Data Analytics Specialist at Rwanda Insurers Association (ASSAR)

Background: 

Association des Assureurs Au Rwanda (ASSAR). Founded on 16 October 1992, the Rwanda Insurers Association (ASSAR) stands as a pivotal institution within the nation’s insurance sector, serving as an independent, non-profit entity dedicated to fostering a collaborative, innovative, and thriving insurance industry. 

With a membership comprising 12 esteemed insurers, we are committed to elevating the standards and reach of insurance in Rwanda. 

Job Overview 

We are seeking a highly skilled and experienced Data Analytics Specialist with a profound understanding of the insurance industry. The specialist must excel in producing industry reports through comprehensive reviews of existing data. This role will spearhead a sector-wide data initiative aimed at extracting insights from raw data to inform decision-making processes across businesses within the sector. 

Key responsibilities include overseeing data input into our repository platform, conducting data analysis, managing data integrity, and daily monitoring of all associated IT responsibilities. The specialist will play a crucial role in ensuring that data-driven insights support project goals and strategic decision-making processes. 

Objectives 

• To oversee the input and management of data in our data repository platform. 
• To analyze data and provide actionable insights to support business decision-making within the insurance sector. 
• To ensure daily monitoring and management of all related IT responsibilities. 
• To support project goals and strategic decision-making processes through data-driven insights. 

Strategy: 

• Co-develop VE’s data road map with the program teams, the MEL team, and the Innovation team to improve programs’ efficacy and efficiency. 
• Identify and develop data-related strategic partnerships aligned with the organization's strategy. 
• Data Management: Oversee the input of data into the data repository platform, ensure data accuracy, integrity, and security, Develop and maintain data management protocols. 
• Lead Quantitative Data Analysis: Oversee and conduct comprehensive quantitative data analysis as part of our quarterly impact monitoring and annual reporting processes. Conduct thorough analyses of raw data to extract meaningful insights specific to the insurance industry, utilize various data analysis tools and techniques to interpret data and present findings in a clear and actionable manner 
• Impact Monitoring: Develop and implement frameworks for continuous impact monitoring, utilizing statistical techniques to measure and analyse the effectiveness of programs and initiatives. 
• Annual Reporting: Lead the preparation of detailed annual reports, synthesizing complex data into actionable insights in strategic recommendations for stakeholders. 
• Data Visualization: Create compelling data visualizations and dashboards to communicate findings effectively to both technical and non-technical audiences. 
• Stakeholder Collaboration: Work closely with cross-functional teams, including finance and operations, to understand data needs and deliver insights that drive business value. 
• Mentorship and Leadership: Mentor and guide junior data analysts, fostering a culture of continuous learning and professional development within the team. 
• Data Governance: Establish and enforce data governance policies to maintain high standards of data quality and security. 
• Technology Management: Stay up to date with industry trends and advancements in data analytics tools and technologies. Recommend and implement best in class solutions to enhance analytical capabilities.
• Business Development: 
• Contribute regularly to proposals, reporting, advocacy briefs, and other external communications that rely on robust analysis, visualization, and interpretation of data. 
• Conceptualize and initiate new, creative, and effective ways of telling our impact stories with our data. 

• Work with talented, diverse, and motivated team members. 
• Competitive salary and benefits package based on the labour market and candidate's experience. 
• Opportunities for professional growth and development. 
• Be part of the team that is addressing Socio-economic gaps through our projects. 

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