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Senior Data Analyst - AWS Platform

United States, Pittsburgh · Job Posted March 03, 2026
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Job Description

The Senior Data Analyst role focuses on leveraging AWS technologies and extensive SQL expertise to drive business insights through data analytics and BI implementations. Candidates should have a strong background in data warehousing and ETL processes, along with excellent communication skills to engage with stakeholders. A bachelor's degree in a relevant field is required, with a master's degree preferred. This hybrid position is based in Pittsburgh, PA.

Job Responsibility

  • Partner with business and technical stakeholders to gather, analyze, and prioritize requirements
  • Translate complex business needs into clear, actionable data and analytics requirements
  • Prepare and deliver business requirements reviews, project updates, and roadblock assessments to senior leadership
  • Participate in strategic and tactical planning discussions with cross-functional teams
  • Actively contribute to BI and analytics implementations across enterprise data platforms, data lakes, and data warehouses
  • Identify and source relevant data across multiple data repositories and efficiently extract, process, and validate it
  • Ensure data accuracy, integrity, and consistency through validation and descriptive statistical analysis
  • Provide detailed guidance on data sources, metrics, and definitions to accelerate analytics and data pipeline development
  • Design, develop, and maintain scalable, automated, and user-friendly dashboards, reports, and analytical tools
  • Develop and maintain artifacts focused on business analysis, KPIs, metrics, and performance reporting
  • Enable data-driven decision-making by aggregating and presenting insights in a clear, digestible format
  • Partner with operations and business teams to implement metrics, automated reporting solutions, and process improvements
  • Support the development and optimization of ETL pipelines, query performance, and data models
  • Ensure adherence to data governance standards, policies, and best practices
  • Deliver results on ambiguous projects with incomplete or evolving data requirements

Requirements

  • 10+ years of experience in a business analyst or data analyst role
  • 5+ years of expert-level SQL skills with experience optimizing queries on very large datasets
  • 5+ years of strong understanding of data warehousing concepts and data modeling
  • 5+ years of experience with AWS analytics technologies, including Redshift, Athena, S3, EC2
  • 5+ years of hands-on experience designing and implementing ETL pipelines and performance tuning
  • 5+ years of experience using scripting languages for data parsing and analysis
  • Bachelor’s degree in Business, Engineering, Statistics, Computer Science, or a related field

Nice to have

  • Master’s degree in Business, Engineering, Statistics, Computer Science, Mathematics, or a related field
  • Prior experience supporting enterprise-level data platforms and analytics initiatives
  • Professional experience in business analysis, data analysis, or statistical analysis
  • Strong domain experience in Finance Planning & Analytics (FP&A)
  • Proven experience leading or contributing to large-scale analytics and BI initiatives
  • Excellent written and verbal communication skills, with the ability to communicate effectively with both technical and business stakeholders
  • Strong problem-solving, project management, and organizational skills
  • High attention to detail with the ability to influence and collaborate across teams
  • Ability to thrive in a fast-paced environment and manage ambiguity

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