Senior Data and Technical Marketing Analyst (Medical Industry) Centurion

Pro Tem; Centurion; On-site; ZAR 600,000 - 900,000; Full time

Job summary

A healthcare analytics firm in Centurion seeks a Senior Data & Technical Marketing Analyst to enhance client-facing analytics. The role requires strong data analysis and visualization skills, experience in the healthcare sector, and excellent communication capabilities. Candidates will lead reporting frameworks and market research efforts to support strategic decision-making. Join a dynamic team dedicated to transforming data into actionable healthcare insights.

Qualifications

• 4–6 years of data analysis experience, preferably in healthcare, insurance, or financial services.
• Proven track record of delivering insights that influence client or business decisions.
• Experience mentoring or managing junior team members.

Responsibilities

• Lead the design and automation of dashboards and reports that drive decision-making for clients.
• Translate complex healthcare data into clear, actionable insights.
• Own and manage reporting frameworks, ensuring accuracy and alignment with business needs.
• Engage with client stakeholders, providing evidence-based recommendations.
• Conduct market and competitor research to benchmark scheme benefits.

Skills

Data analytics

Reporting

Data visualization

SQL

Power BI

Excel

Communication skills

Education

Bachelor’s or Honours degree in mathematics, statistics, actuarial science, data science, or related field

Tools

Power BI

SQL

Excel

Python

R

Job description

Senior Data & Technical Marketing Analyst

My client is committed to turning data into actionable insights that shape healthcare strategy and innovation. With our new AWS data platform enabling advanced analytics, we are seeking a Senior Data & Technical Marketing Analyst to strengthen our client-facing analytics and technical marketing capability. This role will sit at the intersection of data science, actuarial support, and market intelligence — delivering insights that inform medical scheme benefit design, product positioning, and competitive strategy.

The ideal candidate will not only be highly skilled in data analytics, reporting, and visualisation, but will also excel in interpreting results, preparing client-ready reports, and presenting findings in a compelling way. In addition, the role will contribute to technical marketing by benchmarking competitor products, analysing market trends, and producing strategic insights that support both our clients and internal teams. Experience in the medical schemes or broader healthcare industry is strongly recommended.

Objectives of this role

Lead the design and automation of dashboards and reports that drive decision-making for clients and internal stakeholders.

Translate complex healthcare data (claims, membership, chronic disease, utilisation trends) into clear, actionable insights.

Act as the client-facing data lead : interpreting results, drafting reports, delivering presentations, and guiding data-driven decisions.

Mentor junior analysts and ensure quality, accuracy, and innovation in analytics outputs.

Responsibilities

Own and manage reporting frameworks, ensuring accuracy, automation, and alignment with business needs.

Analyse medical scheme data to identify trends, risks, and opportunities (claims cost drivers, membership movement, chronic prevalence, etc.).

Produce professional reports and presentations for clients, regulators, and internal leadership.

Engage with client stakeholders, explaining results and providing evidence-based recommendations.

Conduct market and competitor research to benchmark scheme benefits, contributions, and performance against peers.

Drive innovation in data use, including predictive modelling, segmentation, and advanced visualisation.

Support actuarial and technical marketing teams with data insights to inform benefit design and strategy.

Support technical marketing initiatives through competitor benchmarking, market research, and insight generation.

Preferred skills and qualifications

Bachelor’s or Honours degree in mathematics, statistics, actuarial science, data science, or related field.

4–6 years of data analysis experience, preferably in healthcare, insurance, or financial services.

Strong SQL, Power BI, and Excel skills (Python / R a strong advantage).

Excellent communication and presentation skills, able to tell a story with data and engage non-technical audiences.

Experience in competitor benchmarking, market research, or technical marketing within financial or healthcare sectors.

Proven track record of delivering insights that influence client or business decisions.

Experience mentoring or managing junior team members.