Job Description

& Requirements

Job Location- Paya Lebar

Working Days & hours -5 days, 8.30 AM to 6 PM

Job Responsibilities

Data Analysis & Insights

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

Dashboard & Visualization Development

Create and maintain interactive dashboards in AWS QuickSight

Design data visualizations to support business decision-making

Optimize dashboard performance and user experience

Ensure data accuracy in reporting and visualizations

Data Pipeline & Engineering Support

Monitor and troubleshoot AWS Glue jobs and data ingestion processes

Support CI/CD pipelines with data-focused monitoring and validation

Assist with GitLab pipeline configurations for data workflows

Support AWS Lambda functions related to data processing

Collaborate on Infrastructure as Code (IaC) for data infrastructure

Data Science Operations

Monitor data pipelines and flag data quality issues

Collaborate with technical teams on data requirements

Support data governance and best practices implementation

Assist in data model validation and testing

Documentation & Reporting

Document analytical methodologies and findings

Prepare regular reports on data insights and model performance

Conduct monthly progress meetings (1 hour) to present findings

Maintain project documentation on SHIP-HATS Confluence

Track analytical tasks through SHIP-HATS Jira

Job Requirements

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

Job Type: Full-time

Pay: $8,000.00 - $10,000.00 per month

Work Location: In person