16.04.2024
Data Analyst Bryanston - Hybrid
IT Notion
South Africa, Sandton
These jobs were popular with other job seekers IT Notion Data Analyst - Prescriptive Analytics Bryanston - Hybrid Permanent Full Time Published: 18 hours ago R750 000 - R960 000 EE/AA, Non EE/AA Easy apply Introduction Create 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. With a big focus on Prescriptive Analytics and Predictive Modelling. Duties&Responsibilities ● Engage with internal business clients with business questions, always probing for the deeper questions and needs, to find the best possible solutions for the business. ● 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 prioritisation is essential Package&Remuneration R750 000 - R950 000pa HR Services, Recruitment&Selection These jobs were popular with other job seekers #J-18808-Ljbffr
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