Data Specialist Expert

4 days ago


Johannesburg, Gauteng, South Africa Mukuru Full time
Job Description

The AI Data Specialist plays a pivotal role in developing and maintaining robust data pipelines, ensuring seamless data flow from various sources. This involves staying up-to-date with the latest advancements in AI and data technologies to apply innovative solutions.

Key Responsibilities
  • Data Analysis and Reporting:
  1. Data Pipeline Development and Maintenance:
  • Develop and maintain robust data pipelines to ensure uninterrupted data flow from various sources.
  • Ensure data quality and integrity throughout the data lifecycle.
Advanced Data Analysis:
  • Perform advanced data analysis to uncover actionable insights and support business objectives.
  • Analyze data to identify patterns, trends, and correlations that can inform business decisions.
Reporting and Visualization:
  • Create standardized and custom reports, and develop data visualizations to present findings to business stakeholders.
  • Provide daily, weekly, and monthly customer service reporting, as well as ad-hoc data requests.
Collaboration and Stakeholder Engagement:
  • Work closely with business stakeholders to understand their data needs and determine the best approach for data collection and presentation.
  • Communicate complex technical concepts to non-technical stakeholders effectively.
Machine Learning and Model Optimization:
  • Leverage expertise in machine learning to optimize models and automate data processes.
  • Implement and maintain machine learning models to enhance customer engagement strategies.
Data Governance and Best Practices:
  • Implement best practices for data governance and ensure compliance with data management standards.
  • Continuously monitor and improve data processes to enhance operational efficiency.
Project Management:
  • Participate in all stages of project work, including requirements gathering, design, implementation, testing, and deployment.
  • Deliver high-quality work on assigned projects, ranging from small tasks to long-term program engagements.
Continuous Improvement:
  • Initiate and drive continuous improvement of performance reporting to better manage the business.
  • Stay updated with the latest advancements in AI and data technologies to apply innovative solutions.


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