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Executive (Data Analysis & Visualisation) - CBO

$ 3,600 - $ 5,000 / month


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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.