Data Analyst - MedTech Market Research

Job Overview

Salary: R40,000 - R45,000 per month

Join an innovative UK-based market research and insights firm specialising in the MedTech sector. As a Data Analyst, you will play a pivotal role in transforming complex healthcare data into impactful insights that guide strategic, clinical, and regulatory decisions. You’ll collaborate across teams, working with cutting-edge tools like Q software, Power BI, and Python to deliver data-driven stories that make a difference in the medical technology landscape.

This is an excellent opportunity for a data-savvy professional in South Africa to work with a forward-thinking UK employer in a specialist sector with global impact.

Responsibilities

• Clean, transform, and validate complex datasets, including survey data, registry data, and real-world evidence.
• Conduct advanced statistical and exploratory analyses (e.g., t-tests, regressions, ANOVA, segmentation, and weighting).
• Use Q software for data processing, scripting, cross-tabulation, and automation in support of market research projects.
• Develop and maintain dashboards and visualisations using Power BI, Tableau, or Python (e.g., Seaborn, Plotly).
• Collaborate with Insights and Regulatory teams to design data analysis plans and ensure data quality throughout.
• Summarise analytical findings into client-ready charts, tables, and narratives for reports and presentations.
• Maintain clear documentation, including data dictionaries and version control logs, to support reproducibility and compliance.
• Support proposal development by estimating data analysis timelines and scoping project needs.
• Assist with automation and optimisation of repetitive analysis tasks using scripting in Q or Python.
• Align quantitative findings with qualitative insights to deliver comprehensive, actionable recommendations.

Qualifications and Experience

Essential:

• Bachelor’s degree (or higher) in Statistics, Data Science, Mathematics, or a related quantitative field.
• At least 2 years’ experience in data analytics or market research.
• Proficiency in Q software, including scripting, weighting, and automation.
• Experience using Python, R, or SQL for data analysis and workflow automation.
• Strong skills in Power BI or Tableau for building insightful visual dashboards.
• Solid foundation in statistical methods such as regression analysis, segmentation, and data weighting.
• High attention to detail and ability to meet deadlines in a fast-paced environment.
• Excellent written and verbal communication skills, particularly in translating data into clear insights.

Desirable:

• Experience in MedTech, life sciences, or healthcare analytics.
• Familiarity with real-world evidence, post-market surveillance, or survey weighting methodologies.
• Understanding of GDPR compliance and anonymisation best practices in healthcare data.
• Knowledge of reproducible research workflows and automation best practices.

Equipment Requirements:

• Reliable internet connection.
• Access to a personal laptop or desktop suitable for data analysis work.