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Urgent! Systems Engineer - Data Analytics (Cloud Business Office) Job Opening In Queenstown – Now Hiring Synapxe

Systems Engineer Data Analytics (Cloud Business Office)



Job description

Position Summary:
We are looking for a skilled Data Analytics and Visualization Specialist to perform data analysis, create insightful visualizations, and manage data workflows using Tableau, Databricks, and AWS.
The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for turning data into actionable insights.
Roles & Responsibilities:
Develop, implement, and maintain data analytics solutions using Tableau, Databricks, and AWS.
Create and manage interactive dashboards and reports to visualize complex data sets.
Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
Perform data extraction, transformation, and loading (ETL) processes to ensure data integrity and accuracy.
Conduct exploratory data analysis to identify trends, patterns, and insights.
Optimize data workflows and processes for efficiency and scalability.
Provide training and support to team members on data tools and best practices.
Stay up-to-date with the latest trends and technologies in data analytics and visualization.
Build robust and reproducible data ingest pipelines to collect, clean, harmonise, normalise, and consolidate data sources.
Requirements:
Bachelor's degree in Data Science, Computer Science, Information Technology, or a related field.
Proven experience in data analytics and visualization using Tableau, Databricks, Sagemaker and AWS.
Strong proficiency in SQL and data manipulation languages.
Experience with ETL processes and data pipeline development.
Excellent analytical and problem-solving skills.
Strong communication and collaboration skills, with the ability to convey complex data insights to non-technical stakeholders.
Ability to work independently and manage multiple projects simultaneously.
Familiarity with healthcare data and regulations is a plus.
Skilled in data acquisition and management with proficiency in data ingestion, storage, processing, and analysis using relational and non-relational databases and cloud-based data platforms.
No experience is welcome, on job training provided.
2 years contract.
Preferred Skills:
Experience with Python or R for data analysis.
Knowledge of machine learning techniques and tools.
Ability to design and implement data models and data architecture.
Certification in Tableau, Databricks, Sagemaker or AWS is a plus.
Experience in cloud-based data platform.
An understanding of finance data is a plus.
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