Remote Insurance Data & Insights Analyst

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 420,000 - 680,000; Full time

Benefits offered by this job

Remote work allowance

Health insurance

Home office stipend

Generous PTO

Job summary

Placements24 seeks a Remote Insurance Data Analyst to transform complex insurance data into actionable insights that support business strategy, product development, and operational efficiency. You’ll work with large datasets, create dashboards, and collaborate virtually with teams across the organization from anywhere in South Africa.

The role requires strong SQL/Python skills, experience with BI platforms such as Power BI or Tableau, and a quantitative degree.

Qualifications

• Proven experience as a Data Analyst, preferably in insurance.
• Strong proficiency in SQL, Python/R, and BI platforms.
• Excellent analytical, statistical, and problem-solving skills.
• Ability to work independently and communicate effectively in a remote environment.
• A degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.

Responsibilities

• Collect, clean, and analyze large volumes of insurance data from various sources.
• Develop and maintain dashboards and reports to track KPIs and business trends.
• Identify patterns, correlations, and insights within the data to inform strategic decisions.
• Collaborate with stakeholders to understand data needs and deliver relevant analytical solutions.
• Stay updated on data analysis techniques and tools relevant to the insurance industry.

Skills

SQL

Python/R

BI tools

Analytical thinking

Remote communication

Education

Degree in Statistics/Math/CS/Economics

Tools

Power BI

Tableau

Job description

Placements24 seeks a Remote Insurance Data Analyst to transform complex insurance data into actionable insights that support business strategy, product development, and operational efficiency. You’ll work with large datasets, create dashboards, and collaborate virtually with teams across the organization from anywhere in South Africa.

The role requires strong SQL/Python skills, experience with BI platforms such as Power BI or Tableau, and a quantitative degree.