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Senior Data Analyst

2 months ago

Cape Town, Western Cape, South Africa Liyema Consulting Full time
Job Summary

Liyema Consulting is seeking a highly skilled Data Scientist to join our team. As a key member of our data analytics team, you will be responsible for analyzing complex data sets, developing statistical models, and implementing data-driven solutions to drive business growth.

Key Responsibilities
  • Data Analysis and Interpretation:
    • Analyze large, complex data sets to extract meaningful insights and trends.
    • Develop and implement statistical models and machine learning algorithms to drive business decisions.
  • Data Engineering:
    • Design, build, and maintain scalable data pipelines to ensure data quality and integrity.
    • Optimize data storage and retrieval processes to improve data accessibility.
  • Collaboration:
    • Work closely with cross-functional teams to understand data needs and deliver solutions.
    • Communicate findings and recommendations to stakeholders in a clear and concise manner.
  • Research and Development:
    • Stay updated with the latest advancements in data science and data engineering.
    • Experiment with new tools, techniques, and technologies to improve data processes and analytics.
  • Deployment and Maintenance:
    • Deploy data pipelines and machine learning models into production and monitor their performance.
    • Continuously improve and maintain existing data pipelines, data models, and infrastructure.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Engineering, or a related field.
  • Minimum of 5 years industry experience in data science, data engineering, or a related field.
  • Proven experience with data analysis, data engineering, data modeling, statistical modeling, and machine learning.
Technical Skills
  • Proficiency in programming languages such as Python, R, or Scala.
  • Experience with data processing frameworks like Apache Spark, Hadoop, or similar.
  • Strong SQL skills and experience with relational databases.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with data visualization tools like Tableau, Power BI, or similar.