Senior Data Analyst - Scientific Research

Placements24; LegKraal Gate; Hybrid; ZAR 650,000 - 900,000; Full time

Benefits offered by this job

Hybrid work model

Medical, dental, and vision insurance

Professional development

Job summary

Placements24 seeks an experienced Senior Data Analyst to join its scientific research division in Mahikeng. The role offers a hybrid work arrangement, blending remote flexibility with on-site collaboration.

You will analyze datasets from various research projects, extract insights, and communicate findings to scientific teams to support evidence-based decision-making. Responsibilities include data collection and transformation, building visualizations, and performing statistical analyses to test

Qualifications

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 4 years of experience as a Data Analyst or in a similar role within a scientific research setting.
• Proficiency in SQL, Python (Pandas, NumPy), or R.
• Strong experience with data visualization tools (Tableau, Power BI, Matplotlib).
• Solid understanding of statistical concepts and methods.
• Excellent analytical, problem-solving, and communication skills.

Responsibilities

• Analyze large and complex datasets from scientific experiments, identifying trends and anomalies.
• Develop and implement data collection, cleaning, and transformation processes.
• Create clear and informative data visualizations and reports for scientific teams and management.
• Perform statistical analysis to test hypotheses and draw conclusions from research data.
• Collaborate with researchers to understand data requirements and provide analytical support.
• Ensure data accuracy, integrity, and adherence to data governance policies.

Skills

SQL

Python

R

Statistics

Data visualization

Communication

Education

Bachelor's or Master's in quantitative field

Tools

Tableau

Power BI

Matplotlib

Job description

About the Role

Our client is seeking an experienced Senior Data Analyst to join their scientific research division in Mahikeng . This role offers a hybrid work arrangement, providing a blend of remote flexibility and on-site collaboration. You will be responsible for analyzing complex datasets generated from various research projects, extracting meaningful insights, and communicating findings to scientific teams. Your expertise in data manipulation, statistical analysis, and visualization will be critical in supporting our research objectives and driving evidence-based decision-making. You will work within a dynamic and collaborative environment, contributing directly to the success of our scientific endeavors and helping to shape research strategies.

Key Responsibilities

• Analyze large and complex datasets from scientific experiments, identifying trends, patterns, and anomalies.
• Develop and implement data collection, cleaning, and transformation processes.
• Create clear and informative data visualizations and reports for scientific teams and management.
• Perform statistical analysis to test hypotheses and draw conclusions from research data.
• Collaborate with researchers to understand data requirements and provide analytical support.
• Ensure data accuracy, integrity, and adherence to data governance policies.

Requirements

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Data Science, or a related quantitative field.
• Minimum of 4 years of experience as a Data Analyst or in a similar role within a scientific research setting.
• Proficiency in data analysis tools and languages such as SQL, Python (Pandas, NumPy), or R.
• Strong experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Solid understanding of statistical concepts and methods.
• Excellent analytical, problem-solving, and communication skills.

Benefits

• Competitive salary and potential for performance incentives.
• Hybrid work model offering flexibility and office-based collaboration.
• Comprehensive medical, dental, and vision insurance.
• Opportunities for professional development and further education.
• A supportive and engaging team environment in Mahikeng.
• Contribution to impactful scientific research projects.