Remote Insurance Data Analyst

Placements24; Gqeberha; Hybrid; ZAR 420,000 - 660,000; Full time

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

About the Role

Our client, a leading insurance company, is actively seeking a skilled and detail-oriented Remote Insurance Data Analyst to join their growing team. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. As a Data Analyst, you will be instrumental in collecting, processing, and analyzing large datasets to provide actionable insights that drive strategic business decisions across various departments, including underwriting, claims, marketing, and product development. You will play a key role in developing reports, dashboards, and analytical models to uncover trends, identify risks, and optimize performance. This role requires a strong analytical mindset, proficiency in data manipulation tools, and a solid understanding of the insurance industry. You will contribute to data-driven strategies from the comfort of your home office.

Key Responsibilities

• Collect, clean, and organize large datasets from various internal and external sources.
• Perform in-depth data analysis to identify trends, patterns, and correlations relevant to the insurance business.
• Develop and maintain reports, dashboards, and visualizations to communicate findings effectively to stakeholders.
• Build and validate predictive models for risk assessment, fraud detection, and customer behavior analysis.
• Collaborate with business units to understand their data needs and provide analytical support.
• Interpret complex data and translate it into clear, concise business insights and recommendations.
• Ensure data integrity, accuracy, and consistency across all analytical processes.
• Stay abreast of industry best practices in data analytics and relevant technologies.
• Automate reporting processes where possible to improve efficiency.
• Present findings and insights to both technical and non-technical audiences.

Requirements

• Bachelor's degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline.
• Proven experience (3+ years) as a Data Analyst, preferably within the insurance or financial services industry.
• Proficiency in SQL for data extraction and manipulation.
• Strong experience with data visualization tools (e.g., Tableau, Power BI).
• Proficiency in statistical programming languages such as Python or R.
• Solid understanding of statistical concepts and analytical techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Ability to work independently and manage multiple projects in a remote setting.
• Strong communication and presentation skills, with the ability to explain technical concepts to a non-technical audience.
• Familiarity with insurance data structures and key performance indicators is a plus.

Benefits

• Competitive salary range appropriate for a remote role.
• Opportunity to work remotely with flexible working hours.
• Comprehensive medical aid and retirement fund contributions.
• Professional development opportunities, including online courses and certifications.
• Access to cutting-edge data analytics tools and platforms.
• A collaborative and supportive remote team environment.
• Contribution to strategic decision-making within a growing insurance company.
• Work from home stipend for setting up your home office.