Business Intelligence Developer with SAS Proficiency

2 days ago


Johannesburg, Gauteng, South Africa PBT Group Full time
PBT Group is seeking an experienced Data Scientist to join its data analytics team. As a key member of the team, you will be responsible for developing and deploying predictive models to drive business growth through data-driven insights.

The ideal candidate will have a strong background in statistical analysis, data mining, and predictive modelling, with expertise in utilising SAS tools for data cleaning, statistical analysis, and visualisation.

Key Responsibilities:

  • Data Analysis and Modelling: Utilise SAS (Base, Enterprise Guide, and Visual Analytics) for data cleaning, statistical analysis, and predictive modelling.
  • Model Development and Deployment: Develop, test, and deploy predictive models to forecast trends, customer behaviour, and other key metrics.
  • ETL Processes: Design and maintain ETL processes to automate and optimise data flows across various systems.
  • Data Exploration and Feature Engineering: Perform in-depth data analysis to extract patterns, identify trends, and derive actionable insights, transforming raw data into model-ready features.
  • Performance Monitoring and Optimisation: Track and evaluate model performance post-deployment, making adjustments to ensure ongoing accuracy and relevance.
  • Collaborative Problem Solving: Work closely with business stakeholders, data engineers, and other data scientists to understand data needs, deliver insights, and recommend process improvements.
  • Documentation: Ensure all data science processes, models, and findings are well-documented and reproducible.

Requirements:

  • Education: Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
  • Experience: 3+ years in a data science or advanced analytics role, with a strong focus on SAS.
  • Technical Skills:
    • SAS: Proficient in SAS Base, SAS Enterprise Guide, SAS Visual Analytics, and SAS Studio.
    • Programming: Skilled in SQL, Python, or R, with experience in data manipulation and analysis.
    • Statistical Analysis and Modelling: Expertise in statistical methodologies, including regression, clustering, time-series analysis, and predictive modelling.
    • Data Engineering: Knowledge of ETL processes and database management.
    • Data Visualisation: Proficiency in visualisation tools like SAS Visual Analytics, Tableau, or Power BI.
  • Soft Skills:
    • Strong problem-solving skills with an analytical mindset.
    • Excellent verbal and written communication skills.
    • Ability to work collaboratively and independently in a fast-paced environment.

Estimated Salary Range: $80,000 - $110,000 per annum, based on industry standards and location.



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