Senior Data Analyst - AWS Platform - HYBRID

Req ID: 357121 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Data Analyst - AWS Platform - HYBRID to join our team in Pittsburgh, Pennsylvania (US-PA), United States (US).

The Senior Business Analyst, Enterprise Data Platform & Analytics is a multidimensional role spanning technology, data, people, and process. This position is part of the Enterprise Data Solutions team and supports Thermo Fisher Scientific’s internal divisions and business groups.

The role focuses on enterprise-scale BI implementations involving data platforms, data lakes, data warehouses, and data science initiatives. The successful candidate will ensure that data architecture, governance, policies, and processes are aligned to meet complex business needs, with a strong emphasis on Finance Planning & Analytics (FP&A).

 

Key Responsibilities

Business & Stakeholder Engagement

• 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

Data & Analytics Delivery

• 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

Reporting & Insights

• 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

Technical & Process Excellence

• 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

 

Minimum 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

 

Preferred Qualifications

• 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 init