Data Analyst

Pronel Personnel; Pietermaritzburg; On-site; ZAR 400 000 - 600 000; Full time

Job summary

A leading company is seeking a highly skilled Data Analyst to join their operations team. The role focuses on data analytics within the short-term insurance sector, requiring expertise in extracting insights, risk assessment, and data management. Ideal candidates will have strong analytical skills and relevant qualifications. Responsibilities include data analysis, risk evaluation, and collaboration with technical teams to enhance data-driven decision-making.

Qualifications

• Experience in data analytics and insurance.
• Strong understanding of statistical methods and data modelling.

Responsibilities

• Collect, validate, and analyze data related to insurance policies and claims.
• Conduct thorough data cleansing processes.
• Assess risks and quantify probabilities of future claims.

Skills

Analytical Skills

Data Analysis

Statistical Methods

Risk Assessment

Education

Matric (maths core)

Related tertiary qualification

Job description

Our client based in the Gauteng region is looking for a highly skilled, analytical, and experienced Data Analyst to join their operations department, specializing in data analytics as part of our short-term insurance team. This role will involve extracting valuable insights, interpreting and translating complex datasets and providing data-driven recommendations to support decision-making across various departments.

Duties:

Business / Data Analysis

• Collect, validate, and analyze data all current data; insurance policies, claims and demographics.
• Utilize effective statistical methods to identify trends, patterns, and correlations in the data.
• Review and understand the business and processes.
• Engage in active listening to determine the data requirements.
• Drive analytical projects to achieve defined objectives, focusing on delivering actionable insights.

Data Management & Preparation

• Conduct thorough data cleansing processes to eliminate inaccuracies and inconsistencies.
• Structure data sets to ensure they meet quality standards and are ready for analysis.

Modelling of Data

• Organize data in the best way possible for regular and ad hoc reporting outputs.
• Determine all data modelling requirements needed to run regular and ad hoc reports.
• Test all data requirements before finalizing any form of reporting.

Risk & Financial Analysis

• Assess and quantify risks associated with insurance policies and portfolios using actuarial techniques and models.
• Calculate probabilities of future events such as claims and losses.

Premium Analysis and Modelling

• Evaluate the impact of premium adjustments and pricing strategies on financial performance and
• risk exposure.
• Conduct thorough analysis to understand implications on revenue, profitability, and market competitiveness

Understanding Loss Ratios

• Develop a thorough understanding of loss ratios to evaluate the performance of insurance products
• and portfolios.
• Provide insights and recommendations to optimize pricing strategies and mitigate risk exposure.

Blackbox Development

• Collaborate with the Head of Data to identify challenges and opportunities within the data landscape.
• Develop and maintain the Blackbox and other advanced tools for extracting insights.
• Enhance predictive models to assess potential impacts of market conditions and regulatory changes.
• Development & Continuous Learning
• Evaluation and Recommendations
• Document required procedures for all regular established reporting outputs.
• Effectively communicate findings, methodologies, and recommendations to technical teams and stakeholders.
• Pursue professional development opportunities to stay abreast of industry trends and advancements in actuarial and data science.
• Embrace innovation by exploring new techniques, methodologies, and technologies to enhance data analysis and modelling.

Qualifications

• Matric (maths core is a requirement).
• Related tertiary qualification (mathematics, statistics, economics, finance, data analytics or computer science)

If you meet all of the above, please send your CV to [e-mail].

Please note due to high volume responses, only candidates that meet the advertised criteria will be contacted.