Responsibilities:
skills
Qualifications
Engineering, Logistics or completion of a technical training program in a software development programming
Talend
and experienced Data Scientist with a robust background in data analysis, machine learning and R, as well as expertise in SQL for efficient data manipulation. Excellent problem-solving skills, methodologies in the data science field.Â
What you’ll do:
Provide business explore, examine, integrate and scrub data from multiple disparate data sources required to answer complex and collaborative partnerships with BI Analysts / Data Scientists / Use Case Owners in the business.
Main Purpose:
Provide statistical analysis, forecasting, predictive modelling,
research, economics, data engineering, risk management, or equivalent industry training and experience.
1. Data Analysis: Analysing and interpreting complex data using statistical methods and tools to uncover insights and trends. 2. Data Extraction: Using ETL / ELT methods and tools like Azure Data Factory and Synapse Synapse. 3. Data Visualization: Creating visualizations and dashboards to communicate data insights effectively 4. Data Cleaning: Cleaning and preprocessing data to ensure accuracy and completeness. 5. Data Modelling: Working collaboratively with other members of the data science team and other departments to identify business
I are constantly on the lookout for accomplished Data Engineers with strong academics, robust project experience
Energy Data Analyst vacancy in Cape Town.
Cape Town
Minimum
relevant working experience in data analysis.
Responsibilities:
Impact: Ensure responsible and compliant use of data.
Impact: Ensure the responsible and compliant use of data.
PBT Group, leading Data Specialists, is at the forefront of data innovation, and we're seeking migrating our existing data infrastructure from SQL Server to Snowflake, enhancing our data capabilities, and will be responsible for integrating new data sources and providing comprehensive reporting using Qlik.
the migration of data from SQL Server to Snowflake while also integrating new data sources into existing and developing robust data architectures, optimizing performance, and providing insights through Qlik