Data analytics specialist
Posted Updated
Summary
A senior data analytics engineer/specialist at a national South African software house, delivering end-to-end analytics, BI reporting and MLOps solutions. Day-to-day work centers on SQL, Python/R, machine learning, statistics, and BI platforms like Power BI, with GCP/Azure cloud exposure.
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 Power BI (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 & RemunerationR 70 000 - R 85 000 - Monthly #J-18808-Ljbffr