handling client complaints, collecting and analyzing data, and improving the overall customer experience.
We consulting services and the clients they serve. This position act as a point of contact for their clients and client data and complaints, and identifying industry trends.
To succeed in this position, candidates client need fulfilment.
handling client complaints, collecting and analyzing data, and improving the overall customer experience.
We consulting services and the clients they serve. This position act as a point of contact for their clients and client data and complaints, and identifying industry trends.
To succeed in this position, candidates client need fulfilment.
Purpose of the position Develop, enhance, maintain and support recon products to the highest standard provides a good user experience and uses efficient data transfer between front-end, service layer and back-end accessibility and privacy. • Analysis: o Analyze data to determine, recommend, and plan installation of system design or maintenance; o Obtain and evaluate data on factors such as reporting formats required, costs with Analysis Services o Experience with SQL SERVER Data tools o Experience with modular DB's would be advantageous
Working within a Team of BI and Data Warehouse Developers to create data and reporiting platforms. Working Applications. BI and Datawarehouse Architecture development Data modelling including solid ETL, designing and building interactive dashboards and reports. Investigate data issues and solutions and provide ongoing maintenance experience in Data Warehousing / BI Development Experience with data modeling, data anlaysis, data profiling profiling, data mapping and thorough understanding of data warehouse and BI concepts.
Description: AWS Data Engineer (Expert) Join our dynamic IT Hub in South Africa as an AWS Data Engineer (Expert) and manage cutting-edge Big Data pipelines, ensuring secure and efficient data sharing. Work with top technologies collaborate in agile teams to deliver impactful data solutions. Ideal candidates have a relevant degree Develop and maintain data pipelines using AWS technologies. Implement and manage Big Data solutions. Collaborate Collaborate within Agile teams to deliver high-quality data solutions. Essential Skills: Proficiency in Terraform
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Develop and maintain data solutions using Python, focusing on data pipelines (ETL, SQL).
Support
/>Required Skills:
Expertise in Data Intelligence and Business Intelligence.
Proficiency
/>Proficiency in Python programming and building big data pipelines (ETL, SQL).
Knowledge of Qlikview
methodologies Good problem-solving skills with a data-driven mindset Self-motivated and energetic individual on our database for any other suitable roles / position. For more information contact: Mel Nandalall Senior
you'll leverage your expertise in Python programming, data intelligence, and business intelligence to develop solutions. Key responsibilities include building data pipelines, supporting business intelligence processes Responsibilities: Develop and maintain data solutions using Python, focusing on data pipelines (ETL, SQL). Support of concepts (POCs). Required Skills: Expertise in Data Intelligence and Business Intelligence. Proficiency Proficiency in Python programming and building big data pipelines (ETL, SQL). Knowledge of Qlikview and awareness
business requirements from stakeholders.
Interpret data, analyze results, and provide insights to support
/>Collaborate with teams across the organization to drive data-driven initiatives.
Communicate findings and
experience in data analysis and interpretation.
Proficiency in SQL, Excel, and data visualization