Data Analyst

US-VA-McLean

External

Req #: 6607
Type: Full-Time
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Steampunk

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				Overview:

In today's rapidly evolving technology landscape, an organization's data has never been a more important aspect in achieving mission and business goals. Our data exploitation experts work with our clients to support their mission and business goals by creating and executing a comprehensive data strategy using the best technology and techniques, given the challenge.

At Steampunk, our goal is to build and execute a data strategy for our clients to coordinate data collection and generation, to align the organization and its data assets in support of the mission, and ultimately to realize mission goals with the strongest effectiveness possible.

For our clients, data is a strategic asset. They are looking to become a facts-based, data-driven, customer-focused organization. To help realize this goal, they are leveraging visual analytics platforms to analyze, visualize, and share information. At Steampunk you will design and develop solutions to high-impact, complex data problems, working with the best and data practitioners around. Our data exploitation approach is tightly integrated with Human-Centered Design and DevSecOps.

Responsibilities:

We are looking for a Data Analyst to work with our team and clients to architect and develop data models, data warehouses, data lakes/lakehouses, data governance frameworks, data discovery solutions, and data pipelines. We seek more than a traditional "Data Analyst, we're looking for a technologist with strong communication and customer service skills, a passion for data, and a deep curiosity for solving complex problems.

Key responsibilities include:

* 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).
* Key must-have skill sets: data modeling, data profiling, data discovery, data governance, and strong analytical thinking.

Qualifications:

* Ability to hold a position of public trust with the US government.
* 6+ years of experience with data model and date 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
* 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 offerin (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
			
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