Senior Data Analyst - Insurance Analytics

Placements24; Benoni; Híbrido; ZAR 700 000 - 1 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work

Competitive salary

Health insurance

Paid time off

Professional development

Industry conferences

Cutting-edge analytics tools

Resumo da oferta

Placements24 is seeking a Senior Data Analyst for a forward-thinking insurance provider. This fully remote role allows you to work from anywhere in South Africa and contribute to data-driven decisions across underwriting, claims, marketing, and product development.

You will build analytical models, perform deep data exploration, and communicate insights through visualizations. The position offers strong collaboration, learning opportunities, and a focus on governance and data integrity.

Qualificações

• Master's degree or equivalent in a quantitative field.
• 5+ years of experience as a Data Analyst, with a significant focus on insurance.
• Expert proficiency in SQL for data extraction and manipulation.
• Advanced programming skills in Python or R for data analysis, modeling, and visualization.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Superior communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Proven ability to work effectively in a remote, collaborative environment.

Responsabilidades

• Develop, implement, and maintain advanced analytical models and dashboards to track KPIs and business trends.
• Extract, clean, and transform large datasets from various sources using SQL, Python, or R.
• Perform in-depth data analysis to identify patterns, correlations, and insights related to customer behavior, risk assessment, claims analysis, and market opportunities.
• Design and execute A/B tests and other experiments to evaluate the impact of new initiatives and strategies.
• Collaborate closely with cross-functional teams, including product management, marketing, underwriting, and claims, to understand their data needs and deliver relevant analytical solutions.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through compelling visualizations and presentations.
• Mentor junior data analysts and contribute to the development of best practices in data analysis and reporting.
• Stay current with the latest advancements in data analytics tools, techniques, and industry trends, particularly within the insurance domain.
• Ensure data integrity, accuracy, and adherence to data governance policies.

Conhecimentos

SQL

Python or R

Data visualization

Statistical modeling

Machine learning

Experiment design

Communication

Remote collaboration

Formação académica

Master's degree or equivalent

Ferramentas

Tableau

Power BI

Descrição da oferta de emprego

About the Role

Our client, a forward-thinking insurance provider, is looking for a highly skilled Senior Data Analyst to join their expanding analytics team. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. You will be instrumental in transforming raw data into actionable insights that drive strategic decisions across various business functions, including underwriting, claims, marketing, and product development. The role involves developing complex analytical models, performing in-depth data exploration, and communicating findings to stakeholders at all levels. This is an exceptional opportunity to contribute to data-driven innovation within the insurance sector from the comfort of your home office.

Key Responsibilities

• Develop, implement, and maintain advanced analytical models and dashboards to track key performance indicators (KPIs) and business trends.
• Extract, clean, and transform large datasets from various sources using SQL, Python, or R.
• Perform in-depth data analysis to identify patterns, correlations, and insights related to customer behavior, risk assessment, claims analysis, and market opportunities.
• Design and execute A/B tests and other experiments to evaluate the impact of new initiatives and strategies.
• Collaborate closely with cross-functional teams, including product management, marketing, underwriting, and claims, to understand their data needs and deliver relevant analytical solutions.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical audiences through compelling visualizations and presentations.
• Mentor junior data analysts and contribute to the development of best practices in data analysis and reporting.
• Stay current with the latest advancements in data analytics tools, techniques, and industry trends, particularly within the insurance domain.
• Ensure data integrity, accuracy, and adherence to data governance policies.

Requirements

• A Master's degree or equivalent experience in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• 5+ years of professional experience as a Data Analyst or in a similar quantitative role, with a significant focus on the insurance industry.
• Expert proficiency in SQL for data extraction and manipulation.
• Advanced programming skills in Python or R for data analysis, modeling, and visualization.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent analytical, problem-solving, and critical-thinking skills.
• Superior communication and presentation skills, with the ability to explain technical concepts to diverse audiences.
• Proven ability to work effectively in a remote, collaborative environment.

Benefits

• Highly competitive salary and performance-based bonus.
• Fully remote work arrangement, offering significant flexibility.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and company holidays.
• Opportunities for continuous learning, professional development, and attending industry conferences.
• Access to cutting-edge analytics tools and technologies.