Data Analyst – AWS & Modeling Specialist

Quantum Technologies. LLC; Philadelphia (Philadelphia County); On-site; USD 86,000 - 123,000; Full time

Job summary

Quantum Technologies. LLC in Philadelphia, PA is seeking a Data Analyst with strong experience in AWS, data modeling, and data analytics to analyze complex datasets and deliver actionable business insights.

Responsibilities include collecting, cleaning, transforming, and analyzing large datasets; developing data models; using AWS services to store and process data; writing SQL queries; and building dashboards to track key metrics and drive decision making.

Qualifications

• Weeks of experience in AWS cloud services and data modeling.
• Strong SQL and data visualization skills.
• Experience with data analytics and data warehousing concepts.

Responsibilities

• Collect, clean, transform, and analyze large datasets from multiple sources.
• Develop and maintain data models to support reporting and analytics.
• Work with AWS services to store, process, and analyze data.
• Write and optimize SQL queries for data extraction and reporting.
• Build dashboards, reports, and data visualizations to track key business metrics.
• Identify data trends, patterns, and opportunities for process improvement.
• Ensure data accuracy, consistency, quality, and integrity.
• Collaborate with stakeholders and technical teams to understand reporting requirements.
• Support ETL/ELT processes and data integration workflows.
• Present analytical findings and recommendations to management.

Skills

AWS

Data modeling

Data warehousing

SQL

Data analytics

Data visualization

Tools

Power BI

Tableau

Job description

Quantum Technologies. LLC in Philadelphia, PA is seeking a Data Analyst with strong experience in AWS, data modeling, and data analytics to analyze complex datasets and deliver actionable business insights.

Responsibilities include collecting, cleaning, transforming, and analyzing large datasets; developing data models; using AWS services to store and process data; writing SQL queries; and building dashboards to track key metrics and drive decision making.