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
Scope of work & responsibilities:
sector is looking for a Corporate Actions Data Management Specialist to join their team. Must have completed
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sector is looking for a Corporate Actions Data Management Specialist to join their team. Must have completed
Employee will work as a System Engineer, in the field of Autonomous Systems. The scope of work includes following:
Responsibilities
- Assist with the development of system-level plans, processes, procedures, and internal
with client and translate client requirements into system/subsystem-level requirements that can feed hardware
standards;
- Develop system architectures and comprehensive system designs to fulfil the system/subsystem level
reliability analyses towards proving system safety;
- Develop system level verification plans, test cases
cases, and procedures towards full test coverage of system/subsystem-level requirements;
- Assist with
Responsibilities:
skills
Qualifications
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, exploring emerging technologies and methodologies in the data science field.Â
What you’ll do 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.