Omniscius Consulting
We are seeking a Senior Data Analyst to support a federal customer in enhancing its data analytics capabilities. This role offers the opportunity to work on mission-driven projects that leverage advanced cloud-based and on-premise solutions to deliver actionable insights and innovative analytics for federal stakeholders.
Key Responsibilities
Enhance data analytics capabilities across cloud-based and on-premise platforms.
Support full data lifecycle activities including: Data Discovery & Collection
Data Storage & Transformation
Data Analysis & Visualization
Reporting & Documentation
Data Security & Compliance
SAS Deployment & Administration
Deliver consultative support and training to DOJ users.
Ensure adherence to data governance, management best practices, and security standards.
Technical Skills & Tools
SAS: SAS Desktop, SAS Viya on AWS
Cloud Platforms: AWS (KMS, IAM, S3, RDS, AWS Backup)
Programming & Databases: Python, SQL, SQL Server on AWS
Data Practices: Data modeling, data pipelines, scalable data frameworks, and automation
Additional Skills: Human-centered design, product development, Agile methodologies
Required Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, or related field (or equivalent).
Minimum 10 years of experience in data analysis, including data collection, transformation, and visualization.
Experience supporting federal government organizations within the past 3 years.
Demonstrated expertise in AWS data processing and serverless technologies.
Proven ability to work independently on complex data engineering and automation projects.
Experience developing scalable data models for business intelligence (BI) and machine learning (ML) applications.
Fluency with open-source tools to support advanced analytics and pipeline development.
Strong knowledge of data management best practices.
Ability to obtain and maintain required security clearance.
Preferred Qualifications
Experience with federal shared services and diverse data models.
Background in Agile program delivery and cross-functional collaboration.
Familiarity with federal data compliance frameworks.
Enhance data analytics capabilities across cloud-based and on-premise platforms.
Support full data lifecycle activities including: Data Discovery & Collection
Data Storage & Transformation
Data Analysis & Visualization
Reporting & Documentation
Data Security & Compliance
SAS Deployment & Administration
Deliver consultative support and training to DOJ users.
Ensure adherence to data governance, management best practices, and security standards.
Technical Skills & Tools
SAS: SAS Desktop, SAS Viya on AWS
Cloud Platforms: AWS (KMS, IAM, S3, RDS, AWS Backup)
Programming & Databases: Python, SQL, SQL Server on AWS
Data Practices: Data modeling, data pipelines, scalable data frameworks, and automation
Additional Skills: Human-centered design, product development, Agile methodologies
Required Qualifications
Bachelor’s degree in Data Science, Computer Science, Statistics, or related field (or equivalent).
Minimum 10 years of experience in data analysis, including data collection, transformation, and visualization.
Experience supporting federal government organizations within the past 3 years.
Demonstrated expertise in AWS data processing and serverless technologies.
Proven ability to work independently on complex data engineering and automation projects.
Experience developing scalable data models for business intelligence (BI) and machine learning (ML) applications.
Fluency with open-source tools to support advanced analytics and pipeline development.
Strong knowledge of data management best practices.
Ability to obtain and maintain required security clearance.
Preferred Qualifications
Experience with federal shared services and diverse data models.
Background in Agile program delivery and cross-functional collaboration.
Familiarity with federal data compliance frameworks.