Senior Data Analyst - R&D

Placements24; Richards Bay; Hybrid; ZAR 600,000 - 900,000; Full time

Benefits offered by this job

Competitive salary

Bonuses

Remote work

Health insurance

Paid time off

Job summary

Placements24 is seeking a Senior Data Analyst to join their remote-first R&D division. You will analyze vast datasets generated from scientific experiments, extract actionable insights, and support data-driven decision-making across projects.

The role emphasizes collaboration with researchers and engineers, building dashboards, and communicating findings to stakeholders. A strong background in statistics and programming is essential, with 5+ years of experience.

Qualifications

• Bachelor's or Master's degree in a quantitative field.
• 5+ years of professional experience as a Data Analyst.
• Proficiency in SQL, Python or R for data manipulation and analysis.
• Experience with Tableau or Power BI for data visualization.
• Strong understanding of statistical concepts and hypothesis testing.

Responsibilities

• Collect, clean, and process large, complex datasets from diverse scientific sources.
• Perform in-depth statistical analysis and modeling to identify patterns and anomalies.
• Develop and maintain dashboards and reports to visualize KPIs and trends.
• Collaborate with researchers and engineers to translate data needs into solutions.
• Communicate findings to technical and non-technical stakeholders through presentations.
• Propose and implement improvements to data collection, analysis methodologies, and reporting.

Skills

SQL

Python

R

Statistical analysis

Problem solving

Independent work

Education

Bachelor's or Master's degree in Statistics/Data Science/Math/CS

Tools

Tableau

Power BI

Job description

About the Role

Our client is looking for an exceptional Senior Data Analyst to join their pioneering remote-first research and development division. In this critical role, you will be responsible for analyzing vast datasets generated from scientific experiments, extracting actionable insights, and communicating findings to guide research strategies and product development. You will leverage advanced analytical techniques and tools to uncover trends, identify key drivers, and support data-informed decision-making across various R&D projects. This is an exciting opportunity for a data-driven professional who is passionate about the application of data science in a scientific context and thrives in a collaborative, fully remote environment.

Key Responsibilities

• Collect, clean, and process large, complex datasets from diverse scientific sources.
• Perform in-depth statistical analysis and modeling to identify patterns, correlations, and anomalies.
• Develop and maintain dashboards and reports to visualize key performance indicators and research trends.
• Collaborate with research scientists and engineers to understand data needs and translate them into analytical solutions.
• Communicate findings and recommendations effectively to technical and non-technical stakeholders through presentations and written reports.
• Propose and implement improvements to data collection, analysis methodologies, and reporting processes.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Mathematics, Computer Science, or a related quantitative field.
• 5+ years of professional experience as a Data Analyst or in a similar analytical role, preferably within a research or scientific context.
• Strong proficiency in SQL, Python, or R for data manipulation and analysis.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Solid understanding of statistical concepts and hypothesis testing.
• Excellent problem-solving skills and the ability to work independently and manage multiple projects in a remote setting.

Benefits

• Highly competitive salary and potential for performance bonuses.
• Opportunity to work on cutting-edge R&D projects with significant impact.
• Comprehensive health, dental, and vision insurance.
• Generous vacation time and paid holidays.
• A fully remote work structure, promoting excellent work-life balance and flexibility.