Data Analyst Bryanston - Hybrid

It Notion; Gauteng; On-site; ZAR 500 000 - 800 000; Full time

Job summary

A leading analytics company in South Africa is looking for a skilled Data Scientist to create analytical solutions and machine learning models. The role requires strong communication between business and technical teams and a solid foundation in data science principles. The ideal candidate will have a relevant degree and experience in data analysis tools like SQL and Python, along with understanding machine learning techniques.

Qualifications

• Strong understanding of Machine Learning techniques (supervised and unsupervised learning).
• Experience with data science model operationalization.
• Practical experience in a high-paced environment.

Responsibilities

• Act as a communication bridge between business and technical teams.
• Design algorithms and machine learning models.
• Create monitoring systems for model performance.

Skills

Communication skills

Data analysis

Machine Learning

SQL

Python

Statistical analysis

Education

Undergraduate degree in Mathematics, Statistics, Engineering, Physics, Finance, or Economics

Tools

SQL

Python

R

GCP

Azure

Job description

IntroductionCreate measurable business value for internal and external clients by working with them to ask great business questions, employing leading, fit-for-purpose analytical methods and techniques, to provide data-driven insights to answer these questions.

Duties & Responsibilities

• Play a key communication role between business and technical teams to ensure business context is retained when building analytical and data-driven solutions.
• Build a deep contextual understanding of the business and the data to design and propose new solutions that could add meaningful business value.
• Work closely with the data provisioning team to ensure they can provide the reliable, consistent, and context-rich data assets that the team requires for data use cases.
• Create algorithms and build machine learning models to enhance product offerings and solve business problems.
• Create monitoring and anomaly detection systems to track model performance.
• Presentation of data science opportunities and model outcomes to a variety of stakeholders with a varied understanding of data principles.

Desired Experience & Qualification

• 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 prioritization is essential.