Digital Solutions, Database, Business Intelligence and Data Analytics solutions. CyberPro's expertise spans range of modern software development, digital and data technologies and vendors, with a focus on Microsoft Software and System development 3. System integration, Data integration and migration 4. Web and Mobile Digital Digital solutions 5. Business Intelligence, Big Data and Data Analytics 6. Workflow and Robotics Process Automaton Investments 4. Retail 5. Telecommunication Design data models that meet the business requirements and align
you will be doing:
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/>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
and solutions around big data that support the company strategy to become a data driven organisation.
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
for:Â
SSIS packages, and dashboards
Are you passionate about transforming raw data into actionable insights? Do you have a knack for creating
opportunity for you!
We are seeking a talented Data Analyst with a flair for visualization to join our
collaborate with cross-functional teams to drive data-driven decisions.
Key Responsibilities:
Utilize cutting-edge visualization tools to present data in a clear and impactful manner.
Collaborate
updated on industry trends and best practices in data analysis and visualization.
Qualifications:
to new heights. We're looking for highly skilled Data Analysts with experience in financial services, Interpret data, analyze results and interpret trends enabling continuous improvement in data quality and specifications that specify data sources, data flows, data transformations, data storage and reporting Produce documentation such as source-to-target-maps, data dictionaries and data models Create test cases and scenarios business stakeholders to identify data sources, find data definitions for master and metadata as well as formulate