Insurance Data Analyst

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 420,000 - 660,000; Full time

Benefits offered by this job

Medical aid

Retirement contributions

Performance-based incentives

Remote work from anywhere

Professional development

Job summary

Placements24 is seeking an Insurance Data Analyst to join a forward-thinking team. This fully remote role focuses on extracting, cleaning, and analyzing complex datasets to drive underwriting, claims, marketing, and product development decisions.

The ideal candidate will leverage expertise in SQL, Python, and R to build reports and predictive models, collaborating with business units while maintaining data integrity in a remote work environment.

Qualifications

• Bachelor's degree in a quantitative field and strong foundation in statistics.
• Minimum 3 years of data analysis experience, preferably in insurance or financial services.
• Proficient in SQL, Python (Pandas, NumPy), and R.
• Experience with Tableau or Power BI for data visualization.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Collect, clean, and transform large datasets from various sources in the insurance domain.
• Perform in-depth data analyses to uncover trends, patterns, and anomalies relevant to operations.
• Develop and maintain reports, dashboards, and visualizations to communicate findings to stakeholders.
• Collaborate with business units to understand data needs and provide analytical support.
• Develop predictive models and forecasting techniques to support planning and decision-making.
• Ensure data accuracy, integrity, and consistency in outputs.
• Identify opportunities for process improvements and efficiency gains through data analysis.
• Stay updated with latest data analysis tools and methodologies.
• Assist in developing data governance policies and procedures.

Skills

SQL

Python (Pandas, NumPy)

R

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Tools

Tableau

Power BI

Job description

About the Role Our client, a forward-thinking insurance company, is seeking a talented and analytical Insurance Data Analyst to join their growing team. This is a fully remote position, offering the flexibility to work from anywhere. You will play a vital role in extracting, cleaning, analyzing, and interpreting complex datasets to provide actionable insights that drive business decisions across underwriting, claims, marketing, and product development. The ideal candidate possesses strong technical skills in data analysis tools and techniques, coupled with a solid understanding of the insurance industry. Your ability to translate data into clear, concise, and valuable information will be key to supporting the company's strategic initiatives. This role is crucial for leveraging data to improve efficiency, reduce risk, and enhance customer experiences for our client, conceptually linked to Nelspruit, Mpumalanga, ZA.

Key Responsibilities

• Collect, clean, and transform large datasets from various sources within the insurance domain.
• Perform in-depth data analysis to identify trends, patterns, and anomalies relevant to insurance operations.
• Develop and maintain reports, dashboards, and visualizations to communicate key findings to stakeholders.
• Collaborate with business units to understand their data needs and provide analytical support.
• Develop predictive models and forecasting techniques to support business planning and decision-making.
• Ensure data accuracy, integrity, and consistency in all analytical outputs.
• Identify opportunities for process improvements and efficiency gains through data analysis.
• Stay up-to-date with the latest data analysis tools, technologies, and methodologies.
• Assist in the development of data governance policies and procedures.

Requirements

• A bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3 years of experience in data analysis, preferably within the insurance or financial services industry.
• Proficiency in data analysis tools and programming languages such as SQL, Python (Pandas, NumPy), and R.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Strong understanding of statistical concepts and data modeling techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Effective communication skills, with the ability to explain technical findings to non-technical audiences.
• Proven ability to work independently and manage projects effectively in a remote environment.
• Familiarity with insurance data specificities (e.g., policy data, claims data, actuarial data) is a plus.

Benefits

• Our client offers a competitive salary and a comprehensive benefits package, including medical aid, retirement contributions, and performance-based incentives.
• As a fully remote position, you will enjoy the significant advantage of working from home, offering flexibility and autonomy.
• You will have access to advanced analytical tools and technologies, and opportunities for professional development and training in data science and insurance analytics.
• This role provides the chance to make a tangible impact on business strategy through data-driven insights for our client, conceptually linked to Nelspruit, Mpumalanga, ZA.
• Additional benefits include generous paid time off and a supportive virtual team culture.