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Data Analyst - Prescriptive Analytics R750 000 - R960 000

Data Analyst - Prescriptive Analytics R750 000 - R960 000

IT NotionSandton, Gauteng, South Africa
30+ days ago
Job description

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

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    Data Analyst • Sandton, Gauteng, South Africa