Summary
Date Posted: Monday, August 19 2024, Base Salary: Not Disclosed

JOB DETAILS:
The Data Analyst is responsible for analyzing and interpreting complex data sets to provide insights and support decision-making processes within the agency.

This role involves managing incentives, analyzing agency performance, preparing persistency reports, and ensuring compliance with industry standards.

MAIN RESPONSIBILITIES
Strategy
1. Develop and implement a comprehensive data analysis strategy.
2. Design incentive programs to motivate and reward agency performance.
3. Analyze persistency data to identify trends and recommend strategies for improving retention rates.
4. Establish performance benchmarks for agencies and individuals to measure and compare performance
5. Ensure data analysis activities comply with industry regulations and internal policies.
6. Provide strategic insights and recommendations to senior management based on data analysis to drive business growth and efficiency.

Operational
1. Gather, clean, and prepare data from various sources to ensure accuracy and completeness for analysis.
2. Prepare detailed persistency reports to track policy retention and identify areas for improvement.
3. Conduct detailed analyses of agency performance, identifying strengths, weaknesses, and opportunities for improvement.
4. Create and distribute performance reports for individual agents, highlighting key performance indicators and areas for development.
5. Perform trend analysis to identify emerging patterns and insights that can inform strategic decision-making.

KEY DELIVERABLES FOR THIS POSITION
1. Comprehensive data analysis strategy and implementation plan.
2. Detailed incentive program analysis reports and recommendations.
3. Persistency reports with insights and improvement strategies.
4. Agency and individual performance analysis reports.
5. Regulatory reports and compliance documentation.
6. Data quality assurance processes and documentation.

CRITICAL SUCCESS FACTORS FOR THE JOB JOB SPECIFICATIONS
Academic Qualifications
• Bachelor’s degree in data science, Statistics, Mathematics, Business Analytics, or a related field.
• Advanced degree (e.g., master’s in data science, Business Analytics, or Statistics) is a plus.

Functional Skills
1. Proficiency in using data analysis tools and software such as SQL, Excel, Python, R, and data visualization tools like Tableau or Power BI.
2. Strong understanding of statistical analysis techniques and methodologies.
3. Experience in developing and implementing predictive models to forecast trends and outcomes.
4. Ability to create clear and compelling data visualizations to communicate insights effectively.
5. Knowledge of data governance practices and data quality assurance processes.
6. Understanding of the life insurance industry and key performance metrics.

Key Competencies
1. Analytical Skills.
2. Attention to Detail.
3. Problem-Solving.
4. Communication.
5. Collaboration.
6. Integrity

Relevant Experience
1. Data Analysis Experience.
2. Industry Knowledge.
3. Technical Skills.
4. Performance Analysis.
5. Process Improvement.
6. Collaborative Work.

Work Hours: 8

Experience in Months: 24

Level of Education: Bachelor Degree

Job application procedure
Interested in applying for this job? Click here to submit your application now.

If you are qualified and seeking an exciting new challenge, please apply via Email.

Quoting the Position by 21st August 2024

Only shortlisted candidates will be contacted

All Jobs

QUICK ALERT SUBSCRIPTION