Senior Data Analyst - Healthcare

Placements24; Sandton; Hybrid; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Performance bonus

Hybrid work

Health insurance

Paid leave

Professional development

Impactful healthcare work

Job summary

Placements24 in Sandton is seeking a Senior Data Analyst with a healthcare focus to analyze large datasets, identify trends, and support strategic decisions. The role blends remote workdays with in-office collaboration, requiring expertise in SQL, Tableau/Power BI, and statistical methods.

You will develop dashboards, collaborate with multiple departments, and ensure data quality and security. Ideal candidates have 5+ years in data analysis in healthcare, strong communication, and proficiency in

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Health Informatics, Economics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst, with a significant portion in healthcare.
• Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI.
• Strong understanding of statistical analysis and data modeling techniques.
• Excellent analytical, problem-solving, and communication skills.
• Experience with Python or R for data analysis is a plus.

Responsibilities

• Analyze large healthcare datasets (e.g., patient records, claims data, operational metrics) to extract actionable insights.
• Develop and maintain dashboards and reports to track KPIs for healthcare operations and patient outcomes.
• Collaborate with stakeholders across different departments to understand data needs and provide analytical support.
• Identify opportunities for process improvement and cost reduction through data analysis.
• Apply statistical methods and data modeling techniques to predict trends and inform strategic planning.
• Ensure data quality, integrity, and security in all analytical processes.

Skills

SQL

Analytical thinking

Communication

Statistical analysis

Data modeling

Education

Bachelor's or Master's in Data Science/Statistics/Health Informatics/Economics

Tools

Tableau

Power BI

Python

R

Job description

About the Role

Our client is seeking an experienced Senior Data Analyst with a strong focus on the Healthcare sector. This hybrid role, based in Sandton , offers the best of both worlds, combining productive remote workdays with essential in-office collaboration. You will be instrumental in analyzing complex healthcare datasets to identify trends, improve patient outcomes, and optimize operational efficiency. This position is ideal for a data-savvy professional passionate about leveraging data to drive meaningful improvements in healthcare delivery. You will work with advanced analytical tools and contribute to strategic decision-making within a leading organization.

Key Responsibilities

• Analyze large healthcare datasets (e.g., patient records, claims data, operational metrics) to extract actionable insights.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) for healthcare operations and patient outcomes.
• Collaborate with stakeholders across different departments to understand data needs and provide analytical support.
• Identify opportunities for process improvement and cost reduction through data analysis.
• Apply statistical methods and data modeling techniques to predict trends and inform strategic planning.
• Ensure data quality, integrity, and security in all analytical processes.

Requirements

• Bachelor's or Master's degree in Data Science, Statistics, Health Informatics, Economics, or a related quantitative field.
• Minimum of 5 years of experience as a Data Analyst , with a significant portion in the healthcare industry .
• Proficiency in SQL and experience with data visualization tools such as Tableau or Power BI.
• Strong understanding of statistical analysis and data modeling techniques.
• Excellent analytical, problem-solving, and communication skills.
• Experience with Python or R for data analysis is a plus.

Benefits

• Competitive salary and performance bonuses.
• Hybrid work model offering flexibility and work-life balance.
• Comprehensive health insurance and wellness programs.
• Generous annual leave and public holiday allowance.
• Opportunities for professional development and advanced training.
• A dynamic work environment with opportunities to influence healthcare strategies.