Executive (Data Analysis & Visualisation) - CBO
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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.
Role and 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 / Qualifications:
• Bachelor in Data Science, Computer Science, Information Technology, or a related field.
• 2 - 3years of experience in the relevant field
• No experience is also welcome, on job training provided!
• 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.
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.
• Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
• Experience in cloud -based data platform.
• An understanding of finance data is a plus.