Specialist Data Analyst

Boardroom Appointments; Johannesburg; On-site; ZAR 300 000 - 400 000; Full time

Job summary

A professional recruitment agency in South Africa is looking for a data analyst with 1-2 years of experience to collect, process, and analyze large datasets. The candidate will utilize advanced statistical techniques and tools like Tableau and Power BI to create reports and dashboards, providing insights to senior management. A bachelor's degree in Finance, Economics, or related fields is required. This role involves collaboration with various departments to enhance business performance through data-driven recommendations.

Qualifications

• 1 - 2 years of experience in a similar environment.
• Bachelor's Degrees and Advanced Diplomas [NQF Level 07] in Finance, Economics, Data Science, Statistics, Mathematics, or a related field.

Responsibilities

• Collect, process, and analyze large datasets to identify trends, patterns, and insights.
• Use advanced statistical techniques and data mining methodologies to support business decisions.
• Create comprehensive reports and dashboards to present findings.
• Develop visualizations using tools like Tableau or Power BI.
• Conduct detailed analysis to identify key processes and potential areas for streamlining.

Skills

Data analysis

Statistical techniques

Data visualization

Data mining

Education

Bachelor's Degree or Advanced Diploma in Finance, Economics, Data Science, Statistics, Mathematics

Tools

Tableau

Power BI

Job description

Qualifications

• 1 - 2 years experience in a similar environment
• Bachelor`s Degrees and Advanced Diplomas [NQF Level 07] in Finance, Economics, Data Science,Statistics, Mathematics, or a related field

Responsibilities

• Collect, process, and analyze large datasets to identify trends, patterns, and insights that drivebusiness performance
• Use advanced statistical techniques and data mining methodologies to support businessdecisions
• Create comprehensive reports and dashboards to present findings to senior management andstakeholders
• Develop visualizations using tools like Tableau, Power BI, or similar to effectively communicatecomplex data insights
• Conduct detailed analysis to identify key process and potential areas for streamline/automation
• Work closely with finance, underwriting, claims, and other departments to gather data andunderstand business needs
• Partner with IT and data engineering teams to ensure data infrastructure supports analyticalneeds
• Support strategic initiatives by providing data-driven insights and recommendations
• Participate in cross-functional projects to improve efficiency, reduce costs, and enhance overallbusiness performance
• Stay updated with the latest trends and advancements in data analytics, cost management,and the insurance industry
• Experiment with new methodologies and tools to enhance analytical capabilities and businessimpact