Data Analyst — AWS, Modeling & Dashboards

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

Job summary

Cloud Analytics Technologies, LLC in Philadelphia, PA is seeking a skilled Data Analyst to analyze complex datasets and deliver actionable business insights. The role emphasizes AWS, data modeling, and data analytics to support reporting and decision making.

The candidate will develop data models, create dashboards, and collaborate with stakeholders to optimize data processes and integrity. Ideal for professionals comfortable with ETL/ELT, SQL, and cloud services.

Qualifications

• Strong experience with AWS cloud services.
• Solid understanding of Data Modeling and Data Warehousing.
• Hands-on experience in Data Analytics and SQL.
• Experience with data visualization tools such as Power BI or Tableau.

Responsibilities

• Collect, clean, transform, and analyze large datasets from multiple sources.
• Develop and maintain data models to support business 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 business 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 Analytics

SQL

Power BI

Tableau

Job description

Cloud Analytics Technologies, LLC in Philadelphia, PA is seeking a skilled Data Analyst to analyze complex datasets and deliver actionable business insights. The role emphasizes AWS, data modeling, and data analytics to support reporting and decision making.

The candidate will develop data models, create dashboards, and collaborate with stakeholders to optimize data processes and integrity. Ideal for professionals comfortable with ETL/ELT, SQL, and cloud services.