Remote Insurance Data Analyst: Insights & Models

Placements24

Gqeberha

Hybrid

ZAR 420,000 - 660,000

Full time

3 days ago
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Benefits offered by this job

Remote work from home
Medical aid
Retirement fund contributions
Professional development opportunities
Home office stipend

Job summary

Placements24 is hiring a Remote Insurance Data Analyst in South Africa. You will collect and analyze large data sets, build dashboards, and develop predictive models to support underwriting, claims and marketing. Remote from anywhere in South Africa with flexible hours and strong data tooling requirements.

The role requires a quantitative degree, 3+ years of experience, and proficiency in SQL, Tableau/Power BI, and Python or R. Collaboration with multiple departments is essential.

Qualifications

  • Bachelor's degree in a quantitative field.
  • 3+ years of data analyst experience, preferably in insurance/finance.
  • Proficiency in SQL and data extraction.
  • Experience with data visualization tools (Tableau, Power BI).
  • Proficiency in Python or R and solid statistical knowledge.
  • Strong communication and remote work capability.

Responsibilities

  • Collect, clean and organize large datasets from multiple sources.
  • Perform in-depth data analysis to identify trends and risks.
  • Develop and maintain reports, dashboards and visualizations.
  • Build and validate predictive models for risk assessment and customer insights.
  • Collaborate with business units to translate data into actionable insights.

Skills

Analytical thinking
Statistical analysis
Critical thinking
Independent work

Education

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

Tools

SQL
Tableau
Power BI
Python
R

Job description

Placements24 is hiring a Remote Insurance Data Analyst in South Africa. You will collect and analyze large data sets, build dashboards, and develop predictive models to support underwriting, claims and marketing. Remote from anywhere in South Africa with flexible hours and strong data tooling requirements.

The role requires a quantitative degree, 3+ years of experience, and proficiency in SQL, Tableau/Power BI, and Python or R. Collaboration with multiple departments is essential.

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