Posted on :
21 Apr, 2023
21 Apr, 2023
Accountable for the delivery of reliable, on-time, efficient, and high-quality data
analytics solutions, models, and professional services that will enable InSync to
make faster and more informed decisions based on insights generated from this
capability.
Job Title: IT Data Analyst: Contact Ronel @ 0824355021
Location: Port Elizabeth /Gqeberha
Job Summary:
Duties & Responsibilities:
Execute own work according to set operating procedures service level
agreements:
o Plan and organize own tasks to ensure performance targets are met and
standard operating procedures are ahered to.
o Participate and adhere to sprint plan objectives and estimates
o Ensure quality of deliverables, processes and tooling are used effectively
o Adhere to source code management practices
o Adhere to quality assurance practices
Improve products, processes and tools:
o Participate in innovation and evolution of products, processes and tools
o Actively participate and contribute to continuous knowledge sharing
initiatives
o Actively participate and contribute to continuous improvement initiatives
Data Warehouse and Models:
2
o Participate in design and implementation of data warehouse architecture
o Participate in design and implementation of ETL and integration strategies
within data warehouse
o Take ownership of design and implementation of reliable and efficient data
marts, data models, and star schemas for consumption in BI tools
o Assist BI developers in delivery of accurate, high-quality reports and
dashboards
Support:
o Support on helpdesk tickets related to data warehouse failures or bugs
Desired Experience & Qualification:
Diploma of 1 to 3 years / NQF level 6
Skills and experience required
Up to 3 years’ related experience.
Good understanding of data warehousing architecture and tools
Ability to understand and translate business requirements
Ability to analyze data, and translate and apply results into data models that
provide visibility to the business
Well-founded problem solving methodology
MS SQL Server
SQL Queries
Power BI
Data Warehousing architecture and design (Ralph Kimball advantageous)
Integration and ETL tools and methodologies (like SSIS, etc)
Dimensional Modelling
Analyzing and assessing quality and meaning of data
To Apply:
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