/>**Responsibilities:**
- Architect data systems for strategic insights.
- Collaborate
Collaborate for process optimization.
- Ensure data quality and compliance.
**Requirements:**
/>- Post Grad Degree in IT.
- Experience in data analysis and AWS.
- Strong communication skills
insights and analytics
- Look for trends in data to identify potential solutions to address recurring
queries. Liaise with key individuals to ensure source data discrepancies are rectified and create strategies
external clients. Collaborate with data teams and the business to design data analysis and reporting solutions
meets requirements and accurately reflects source data.
Stakeholder and team engagement
-
aligned to the business requirements.
- Analyse data and feedback from clients and management. Proactively
Manufacturer & Distributor seeks an experienced Data Analyst for their business. The primary skills of Procurement Operations Please Quote: DATA / JHB The post Data Analyst appeared first on freerecruit
/>Strong knowledge of database structure systems and data mining
Apply now!
for batch data processing and created Glue Catalog for metadata sync up
SSIS packages, and dashboards
years' experience in data engineering
enterprise standard ETL/ ELT processes as well as data lakes and a focus on code-based techniques and collaborative infrastructure.
GoldenRule is in search of a Data Analyst to join a leading Investment Giant.
Objective complex data sets.
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You are responsible for collating, analysing and interpreting data to identify strategies.
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The objective is to leverage data to provide recommendations to various business stakeholders stakeholders by creating various business and data model to help achieve our business goals.
Minimum
written communication skills.
talented and experienced Data Modeler to join our dynamic team at iOCO. As a Data Modeler, you will play maintaining data models that facilitate efficient storage, retrieval, and analysis of data across various with stakeholders, including business analysts, data scientists, and IT professionals, to understand business requirements and translate them into robust data models.
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What you’ll do
logical, and physical data models to support business requirements and data analysis needs.