Data Analytics Specialist Gauteng

Data Analytics Engineer/ Specialist

Reference: CPT005160-KJ-1

A leadership team that values autonomy
R70 000 - R85 000

Duties & Responsibilities

Our client, a top National Software house focused on the continuous design and development of new prototypes and products is looking for a Senior Data Analytics Engineer/ Specialist to join their team.

Qualifications & Experience

• Undergraduate degree/diploma in Mathematics, Statistics, Engineering, Physics, Finance, or Economics (or similar).
• Knowledge and execution capabilities of common data structures, languages, and tools (e.g. SQL (must), Python or R (must).
• Experience or familiarity with data science model operationalization on-prem or in the cloud (GCP or Azure preferred).
• Understanding and interpretation of statistics and data with a foundational knowledge of regression analysis.
• An understanding (must) of Machine Learning techniques (supervised and unsupervised learning). Practical experience preferred.
• Experience working in a high-paced environment, where prioritisation is essential.
• Experience working and interacting with a variety of stakeholders including development technical, data engineers, sales and customer experience teams.
• History delivering small to large scale analytics, data science and business intelligence projects which require extensive collaboration across multiple teams.
• Minimum two years’ experience required. Experience in the Health Tech sector is advantageous.
• A proven track record of data mining and data pre-processing to ensure quality work delivery.
• Practical experience in BI reporting and data platforms including PowerBI (preferred), Data Studio, and intermediate Microsoft Excel (must).

Knowledge and Skills

• Strong data exploration, analytical, modelling, and reporting skills.
• Strong communication and people-engagement skills.
• Ability and desire to uncover the deep business questions and needs of clients.
• Keen attention to detail and desire to produce high-quality, value-adding analytics and MLOps solutions.
• Ability to take end-to-end ownership of initiatives, ensuring that adding business value is always the guiding light.
• An enterprising nature where one can identify problems or opportunities and take responsibility for the solution and implementation thereof.
• A strong demonstrated desire to learn, upskill and self-improve.
• Strong desire to learn new BI and data science techniques, tools and methods.

Package & Remuneration

R 70 000 - R 85 000 - Monthly