Data Analyst - Insurance

Placements24; Cape Town; On-site; ZAR 420,000 - 620,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement benefits

Professional development

Exposure to diverse datasets

Job summary

Placements24 in Kimberley is seeking a skilled Data Analyst with an insurance focus to extract insights from large datasets, support strategic decisions, and improve processes across underwriting, claims, and marketing. You will build dashboards, analyze trends, and collaborate with stakeholders, using SQL, Python or R, Tableau or Power BI, and strong communication.

Ideal candidates hold a Bachelor's degree in a quantitative field and have experience in insurance data analysis; this role offers

Qualifications

• Bachelor's degree in a quantitative field (Statistics/Mathematics/CS/Economics).
• Proven experience as a Data Analyst, preferably in insurance.
• Proficiency with SQL, Python, or R for data analysis.
• Experience using data visualization tools such as Tableau or Power BI.
• Strong analytical and problem-solving skills with detail orientation.
• Excellent communication skills to explain findings to non-technical stakeholders.

Responsibilities

• Collect, clean, and analyze large datasets related to insurance operations.
• Develop and maintain dashboards and reports to track key business metrics.
• Identify trends, patterns, and correlations to provide actionable insights.
• Collaborate with stakeholders to understand data needs and translate them into analytical requirements.
• Utilize statistical techniques and data visualization tools to present findings.
• Support development of predictive models for customer behavior and risk assessment.
• Ensure data accuracy and integrity throughout the analysis process.

Skills

SQL

Python

R

Tableau

Power BI

Analytical thinking

Communication

Education

Bachelor's degree in Statistics/Mathematics/CS/Economics

Tools

SQL

Python

R

Tableau

Power BI

Job description

About the Role

Our client is seeking a skilled and analytical Data Analyst with a specialization in the insurance sector to join their growing team in Kimberley . This role is essential for extracting valuable insights from large datasets to support strategic decision-making, optimize business processes, and enhance product offerings. You will work closely with various departments, including underwriting, claims, and marketing, to analyze trends, identify opportunities, and report on key performance indicators. This is an excellent opportunity for a data-driven professional looking to make a significant impact in a key regional hub.

Key Responsibilities

• Collect, clean, and analyze large datasets related to insurance operations.
• Develop and maintain dashboards and reports to track key business metrics.
• Identify trends, patterns, and correlations within data to provide actionable insights.
• Collaborate with stakeholders to understand data needs and translate them into analytical requirements.
• Utilize statistical techniques and data visualization tools to present findings.
• Support the development of predictive models for areas such as customer behavior and risk assessment.
• Ensure data accuracy and integrity throughout the analysis process.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Proven experience as a Data Analyst, preferably with exposure to the insurance industry.
• Proficiency in data analysis tools such as SQL, Python, or R.
• Experience with data visualization tools like Tableau or Power BI.
• Strong analytical and problem-solving skills with meticulous attention to detail.
• Excellent communication skills, with the ability to explain complex data findings to non-technical audiences.

Benefits

• Competitive salary package with potential performance bonuses.
• Comprehensive health and retirement benefits.
• Opportunities for professional development and advanced training in data science.
• Exposure to diverse datasets and challenging analytical problems.
• A stable and supportive work environment in Kimberley .