Remote Insurance Data Analyst

Placements24; Stellenbosch; Hybrid; ZAR 520,000 - 800,000; Full time

Benefits offered by this job

Performance bonuses

Flexible remote work

Home office allowance

Health, dental, vision insurance

Continuous learning opportunities

Job summary

Placements24 seeks a highly skilled Remote Insurance Data Analyst to extract actionable insights from large datasets, guiding strategy and risk management in insurance. You will develop models, create dashboards, and communicate findings to stakeholders, while collaborating with IT and business units.

This role supports a flexible remote setup and a data-driven culture, ideal for a detail-oriented quantitative professional.

Qualifications

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field.
• Minimum 4 years as a Data Analyst, ideally in insurance.
• Proficiency in data analysis and statistical software (R, Python, SQL) and visualization (Tableau, Power BI).
• Strong statistical modeling, ML concepts, and data mining knowledge.
• Excellent analytical, detail-oriented, and remote collaboration skills.

Responsibilities

• Collect, clean, and transform large datasets from various sources for analysis.
• Develop and implement statistical models to identify trends and correlations in insurance data.
• Create reports, dashboards, and visualizations to communicate findings to stakeholders.
• Assist in forecasting and predictive modeling for claims, pricing, and customer behavior.
• Collaborate with IT and business units to ensure data integrity and accessibility.
• Contribute to data governance policies and procedures.

Skills

Data analysis

Statistical modeling

Python

R

Tableau

Power BI

Remote collaboration

Education

Bachelor's degree in statistics or related field

Tools

SQL

Tableau

Power BI

Job description

About the Role

Our client is searching for a highly skilled and analytical Remote Insurance Data Analyst to join their innovative team. This position is pivotal for extracting insights from vast datasets to inform business strategy, improve operational efficiency, and enhance risk management within the insurance domain. You will be empowered to work autonomously from your home office, contributing to data-driven decision-making across the organization. This role is perfect for a data enthusiast with a knack for transforming raw numbers into actionable intelligence.

Key Responsibilities

• Collect, clean, and transform large datasets from various sources for analysis.
• Develop and implement statistical models and analytical techniques to identify trends, patterns, and correlations in insurance data.
• Create insightful reports, dashboards, and visualizations to communicate findings to stakeholders at all levels.
• Assist in forecasting and predictive modeling related to claims, pricing, and customer behavior.
• Collaborate with IT and business units to ensure data integrity and accessibility.
• Contribute to the development and refinement of data governance policies and procedures.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 4 years of experience as a Data Analyst, preferably in the insurance industry.
• Proficiency in data analysis and statistical software (e.g., R, Python, SQL) and visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical modeling, machine learning concepts, and data mining techniques.
• Excellent analytical and problem-solving abilities with a keen eye for detail.
• Proven ability to work effectively in a remote collaborative environment and manage projects independently.

Benefits

• Highly competitive salary and potential for performance bonuses.
• Flexible remote work arrangement with a generous home office allowance.
• Comprehensive health, dental, and vision insurance plans.
• Opportunities for continuous learning through online courses and industry conferences.
• A forward-thinking company culture that values data-driven insights and innovation.