Data Analyst

UNAVAILABLE; McLean (VA); On-site; USD 70,000 - 110,000; Full time

Job summary

We are seeking a seasoned Data Analyst to architect and develop data models, warehouses, lakes, and data governance pipelines for our team and clients. The role emphasizes technical prowess, strong communication, and customer service with a passion for data-driven problem solving.

Responsibilities include migrating data environments with reliability, documenting sources, and supporting data artifacts while working in cloud environments (AWS/Azure/GCP).

Qualifications

• Public trust eligibility with US government; DOD Tier 3 preferred.
• 0-2 years of experience with data model and data warehouse design, incl. schema/ER diagrams.
• 0-2 years collaborating with management, personas, and engineers to support data quality.
• Experience with large-scale data migration.
• Experience designing storage/retrieval for structured and unstructured data for data science pipelines.
• Experience designing data platforms for user consumption.
• Experience with relational SQL and NoSQL databases.

Responsibilities

• Work on migration of data environments with performance and reliability.
• Assess, understand, and document data sources.
• Address technical inquiries concerning customization, integration, enterprise architecture and data products.
• Experience with cloud data warehouse solutions in AWS, Azure or GCP.
• Design storage and retrieval solutions for data science pipelines.
• Contribute to data artifacts: Data Dictionary, ER Diagrams, Data Flow Diagram, Data Quality Plan, Data Asset Catalog.
• Collaborate with software and data science teams to operationalize information.

Skills

Data modeling

Data understanding

SQL

NoSQL

Cloud experience

Data governance

Data warehousing

Education

Bachelor's degree in Computer Science/Information Systems/Engineering/Business/technical discipline

Tools

AWS

Azure

GCP

Job description

Overview

We are looking foraseasoned DataAnalystto work with our team and our clients toarchitect and developdata models,data warehouses, lakes, andlakehouses,data governance,services, and pipelines.We are looking for more than just a "DataAnalyst", but a technologist with excellent communication and customer service skills and a passion for data and problem solving.

Responsibilities

• Work on migration of data environments with performance and reliability.
• Assess, understand, and document data sources
• Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products
• Experience working with database / data warehouse solutions in cloud (Preferably AWS; alternatively Azure, GCP).
• Key must have skill sets – data modeling, data understanding
• You will be part of our Data Exploitation Practice!

Qualifications

• Ability to hold a position of public trust with the US government; DOD Tier 3 clearance preferred
• 0-2 years of experience with data model and date warehouse design, including schema design and entity relationship diagrams
• 0-2 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
  • 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. Knowledge of managed service offerings (e.g. AWS EC2, EMR, RDS, Redshift)
• Experience developing specifications for modern large-scale data repositories including development of specifications for cloud-based database solutions
• Familiarity with FIPS 140-2 compliant encryption to both stored data and data in motion
• Understand customer requirements and prioritize for maximum customer / user experience.
• Experience working with software and data science teams to operationalize information
• Experience collaborating with staff, IT customers, and other technical and non-technical staff and contractors 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
• CompTIA network+ certification preferred