Remote Insurance Data Analyst

Placements24; Cape Town; Hybrid; ZAR 420,000 - 640,000; Full time

Benefits offered by this job

Fully remote

Performance bonus

Health insurance

Paid time off

Online learning

Job summary

Placements24 is seeking a highly analytical and self-motivated Remote Insurance Data Analyst to join their innovative team, working remotely to serve clients nationwide. You will transform raw insurance data into actionable insights that drive strategic decisions, product development, and operational efficiency.

You will dive into datasets to identify trends, create statistical models, and communicate findings through dashboards and reports, collaborating with underwriting, claims, and marketing

Qualifications

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the insurance industry.
• Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) and statistical modeling techniques.
• Excellent problem-solving skills and the ability to interpret complex data sets.
• Strong communication skills, with the ability to present technical findings clearly to non-technical audiences.

Responsibilities

• Collect, clean, and process large volumes of insurance-related data from various sources.
• Develop and implement statistical models and algorithms to analyze performance, identify risk factors, and forecast trends.
• Create compelling data visualizations, dashboards, and reports to communicate findings to stakeholders.
• Collaborate with underwriting, claims, and marketing teams to provide data-driven recommendations.
• Identify opportunities for process automation and efficiency improvements through data analysis.
• Ensure data accuracy, integrity, and compliance with privacy regulations.

Skills

Data analysis

Statistics

Problem solving

Communication

Education

Bachelor's degree in quantitative field

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is looking for a highly analytical and self-motivated Remote Insurance Data Analyst to join their innovative team, operating remotely to serve clients across the nation. You will be instrumental in transforming raw insurance data into actionable insights that drive strategic decision-making, product development, and operational efficiency. This role requires a deep dive into datasets to identify trends, patterns, and opportunities for improvement within our insurance offerings and processes. If you are passionate about data, possess strong statistical skills, and thrive in a flexible, home-based work environment, this is an exceptional opportunity.

Key Responsibilities

• Collect, clean, and process large volumes of insurance-related data from various sources.
• Develop and implement statistical models and algorithms to analyze performance, identify risk factors, and forecast trends.
• Create compelling data visualizations, dashboards, and reports to communicate findings to stakeholders.
• Collaborate with underwriting, claims, and marketing teams to provide data-driven recommendations.
• Identify opportunities for process automation and efficiency improvements through data analysis.
• Ensure data accuracy, integrity, and compliance with privacy regulations.

Requirements

• Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the insurance industry.
• Proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Experience with data visualization tools (e.g., Tableau, Power BI) and statistical modeling techniques.
• Excellent problem-solving skills and the ability to interpret complex data sets.
• Strong communication skills, with the ability to present technical findings clearly to non-technical audiences.

Benefits

• Fully remote work arrangement, offering maximum flexibility and work-life balance.
• Competitive salary and potential for performance bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Generous paid time off and company holidays.
• Access to online learning platforms and professional development resources.