Data Analyst

About the Role

Key Responsibilities

• Assess, understand, profile, and document diverse structured and unstructured data sources as part of data discovery and cataloging efforts.
• Perform deep data analysis to uncover insights, drive business decisions, and inform data architecture and governance strategies.
• Collaborate with stakeholders to establish data governance policies, data quality metrics, metadata management, and access control standards.
• Respond to technical inquiries related to data integration, enterprise architecture, customization, and functional capabilities of analytical products and platforms.
• Support and design solutions involving cloud-native database and data warehouse technologies (preferably AWS; alternatively, Azure or GCP).

Requirements

• Ability to hold a position of public trust with the US government.
• 6+ years of experience with data model and data warehouse design, including schema design and entity relationship diagrams.
• 6+ years of experience collaborating with management, personas, and engineers to support data quality efforts.
• Experience with large-scale data migration.
• Experience designing storage and retrieval solutions for both structured and unstructured data, in support of data science pipelines.
• Experience designing data platforms for user consumption.
• Experience supporting the development of related data artifacts such as Data Dictionary, Entity Relationship Diagrams, Data Flow Diagram, Data Quality Plan, Data Management Plan, Data Asset Catalog.
• Experience with relational SQL and NoSQL databases.
• Familiarity with cloud technology, using AWS or Azure, including managed services like AWS EC2, EMR, RDS, Redshift.
• Experience developing specifications for modern large-scale data repositories including cloud-based solutions.
• Familiarity with FIPS 140-2 compliant encryption for stored data and data in motion.
• Understanding customer requirements and prioritizing for maximum customer/user experience.
• Experience working with software and data science teams to operationalize information.
• Experience collaborating with staff, IT customers, and technical/non-technical staff at all levels.
• Experience working in an agile environment.
• Bachelor's degree in computer science, information systems, engineering, business, or a scientific or technical discipline.

Nice to Have

• Experience with cloud-native database and data warehouse technologies (preferably AWS, Azure, or GCP).
• Knowledge of managed service offerings such as AWS EC2, EMR, RDS, Redshift.

Qualifications

• Ability to hold a position of public trust with the US government.
• Bachelor's degree in relevant technical or scientific discipline.

Benefits & Perks

• Projected salary range of $50,000 to $115,000.
• Additional Steampunk benefits (details available via link).