Interpreting data and analysing results using statistical techniques and provide on-going reports.
-Develop
/>-Develop and implement databases, data collection systems, data analytics and other strategies that optimize
-Acquire data from primary or secondary data sources and maintain databases/data systems.
-Identify
in complex data sets.
-Filter and "clean" data by reviewing computer reports, printouts
locate and correct code problems.
-Work with management to prioritize business and information needs
prestigious institution
Proven experience as a Data Engineer or in a similar role, with a portfolio
with database management systems (e.g., MySQL, PostgreSQL)
Proficiency with big data tools (e.g.,
Java, or Scala
Knowledge of data pipeline and workflow management tools (e.g., Airflow, Luigi)
data engineering and contribute to projects that wield
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Science /Information Management
- ITIL Certification
- Certified Data Scientist -Microsoft
/AWS
- Understanding of the ITIL Knowledge Management framework.
- Ability to organise and map
Knowledge management experience.
- 5+ years experience in Business Intelligence field data visualisation
PBT Group has an opportunity for a Data Scientist to build and implement (ML) models to improve business resulting in efficiencies and cost savings. Develop data driven insights to help identify trends and opportunities these insights. Provide in depth analysis of data using data mining and profiling techniques to understand provide solutions based on these insights.
talented Data Analyst who will be responsible for sourcing and transforming a wide range of data across using a variety of data tools, analysis methods and data visualization to turn data into actionable insights
About the role:
About you:
NFP014387-AND-1 Unlock Your Potential in Pretoria Are you a data enthusiast with actuarial qualifications and 0-2 into the world of data analytics? Key Responsibilities: Analyze and interpret complex data sets to drive maintain data models, dashboards, and reports Collaborate with cross-functional teams to identify data-driven data-driven opportunities Implement and improve data collection and analysis processes Stay updated with the practices in data analytics Qualifications: Actuarial qualifications with a strong interest in data analytics
interpret complex data sets to drive business decisions
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develop, and maintain robust data pipelines to collect, process, and store data from various sources.