Insurance Data Analyst

Placements24; Siyancuma Local Municipality; Hybrid; ZAR 350,000 - 550,000; Full time

Benefits offered by this job

Bonuses

Medical aid

Retirement fund

Professional development

Collaborative environment

Strategic impact

Job summary

Placements24 in Upington is seeking an Insurance Data Analyst to extract insights from large datasets, develop reports and dashboards, and support data-driven decision-making in the insurance sector.

You will work with multiple data sources, perform ETL, and apply statistical techniques to inform business strategy and enhance operational efficiency.

Qualifications

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field.
• Proven experience as a Data Analyst with ETL.
• Proficiency in SQL and data visualization tools.

Responsibilities

• Collect, clean, and organize large datasets from various sources within insurance operations.
• Develop and maintain reports, dashboards, and visualizations to track KPIs.
• Analyze data to identify trends, patterns, and anomalies in customer demographics, claims, underwriting, and market performance.
• Interpret data and provide actionable insights and recommendations to stakeholders.
• Collaborate with IT and business units to ensure data accuracy and integrity.
• Support the development and refinement of data models and analytical methodologies.
• Stay up-to-date with industry best practices in data analysis and insurance analytics.

Skills

SQL

ETL

Data visualization

Analytical thinking

Communication

Insurance knowledge

Education

Bachelor's degree in a quantitative field

Tools

Tableau

Power BI

Job description

About the Role

Our client is seeking a skilled and analytical Insurance Data Analyst to join their team in Upington . This role is crucial for extracting insights from complex datasets to inform business strategy, improve operational efficiency, and enhance decision-making within the insurance sector . You will work with various data sources, developing reports, dashboards, and performing in-depth analysis to identify trends, patterns, and opportunities related to customer behavior, risk assessment, claims, and market performance. The ideal candidate possesses strong technical skills in data manipulation and visualization, coupled with a solid understanding of insurance principles, enabling them to translate data into actionable business intelligence.

Key Responsibilities

• Collect, clean, and organize large datasets from various sources within the insurance operations.
• Develop and maintain reports, dashboards, and visualizations to track key performance indicators (KPIs).
• Perform data analysis to identify trends, patterns, and anomalies in areas such as customer demographics, claims, underwriting, and market performance.
• Interpret data and provide actionable insights and recommendations to business stakeholders.
• Collaborate with IT and business units to ensure data accuracy and integrity.
• Support the development and refinement of data models and analytical methodologies.
• Stay up-to-date with industry best practices in data analysis and insurance analytics .

Requirements

• Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field.
• Proven experience as a Data Analyst , with a focus on data extraction, transformation, and loading (ETL).
• Proficiency in SQL and experience with data visualization tools (e.g., Tableau, Power BI).
• Strong analytical and problem-solving skills, with meticulous attention to detail.
• Familiarity with statistical concepts and analytical techniques.
• Experience or strong interest in the insurance industry is highly advantageous.
• Excellent communication skills to present findings clearly to both technical and non-technical audiences.

Benefits

• Competitive annual salary and performance-related bonuses.
• Comprehensive medical aid and retirement fund benefits.
• Opportunities for professional development and advanced training in data analytics.
• A collaborative work environment with exposure to diverse business functions.
• The chance to leverage data to drive strategic decisions in the insurance market.