Overview
Job responsibilities for this role involve data analysis, statistical modelling, and building data-driven solutions in a cloud environment.
Responsibilities
- Perform data analysis and statistical modelling using AWS Redshift data
- Develop predictive models and machine learning algorithms
- Generate actionable insights from large datasets
- Conduct data quality assessments and validation
- Create and maintain interactive dashboards in AWS QuickSight
- Support AWS Lambda functions related to data processing
- Collaborate on Infrastructure as Code (IaC) for data infrastructure
- Monitor and troubleshoot AWS Glue jobs and data ingestion processes
- Monitor data pipelines and flag data quality issues
- Maintain project documentation on SHIP-HATS Confluence
- Track analytical tasks through SHIP-HATS Jira
Skills & Experience
- Strong background in data science, statistics, and machine learning
- Proficiency in data analysis tools (Python, R, SQL)
- Experience with AWS data services (Redshift, QuickSight, S3, Glue, Lambda)
- Data pipeline development and troubleshooting experience
- Basic CI/CD pipeline knowledge (GitLab preferred)
- Infrastructure as Code (IaC) familiarity for data environments
- Data visualization and dashboard development skills
- Strong analytical thinking and problem-solving abilities
- Excellent documentation and presentation skills
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