p>The purpose of the Data Engineer is to leverage their data expertise and data related technologies technologies, in line with the Company Data Architecture Roadmap, to advance technical thought leadership for the purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning solutions around big data that support the Bank's strategy to become a data driven organisation.
Job
Responsibilities:
company in the North of Johannesburg is looking for a Data Analyst to take control of BI projects, analyse
analyse user requirements as well as to audit data.
Job Experience & Skills Required:
Data Analyst
At least 1 year experience working
the lookout for a Data Engineer to join their team.Â
The purpose of the Data Engineer is to leverage leverage their data expertise and data related technologies, in line with the Company’s Data Architecture purpose data products, and support data initiatives. In addition, Data Engineers enhance the data infrastructure intelligence by providing clean, usable data to stakeholders. They also create data pipelines, Ingestion, provisioning solutions around big data that support the Bank's strategy to become a data driven organisation.
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- Interpreting data and analysing results using statistical techniques and provide on-going reports.
-Develop and implement databases, data collection systems, data analytics and other strategies that
-Acquire data from primary or secondary data sources and maintain databases/data systems.
-Identify
trends or patterns in complex data sets.
-Filter and "clean" data by reviewing computer reports
Reference: ITE006013-DAP-1 Are you a meticulous Data Analyst with a passion for finance? A leading financial dynamic team. Key Responsibilities: Data Collection & Management. Data Analysis. Reporting & Visualization Collaboration with IT and other departments to implement data-driven solutions. Continuous Improvement Qualifications Qualifications & Skills: Education: Bachelor's degree in Data Science, Statistics, Finance, Economics, Computer certification in data analysis or finance is a plus. Experience: Minimum of 1-3 years in data analysis within
Reference: JHB001787-GuguN-1 Job Description: The Data Scientist will focus on developing cost variance variance use cases as part of Exxaro Resources' Data & AI Strategy. This position entails working onsite statistical and machine learning techniques to drive data-driven decision making. - Present findings to both What We're Looking For: - Experience:4-6 years in data science roles. - Skills: Proficiency in Python, analysis and modeling techniques. Experience with data visualization tools (e.g., Tableau, Power BI). -
and Responsibilities: