Data Analyst from ALTA IT Services
Sterling, VA
About the Job
If Interested reach out directly to kspicer@altaits.com or call/text 301-252-8762
95% REMOTE-either Sterling, VA or Rockville, MD
Data Analyst
Must have experience in the following areas:
More than five years of experience with handling and analyzing structured and unstructured data.
Proven working experience as a Data Analyst
Knowledge of data modeling and schema design
Strong knowledge of and experience with reporting packages (e.g., Tableau, PowerBI, Kibana)
Strong knowledge of and experience with databases (e.g., AWS S3, AWS Redshift, AWS RDS, PostgreSQL, Elastic)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at writing SQL queries, report writing and presenting findings
Familiarity with DODAF artifacts, specifically OV-1, SV-1, SV-4, DIV-1, DIV-2, DIV-3
Preferred Education, Experience, & Skills
Bachelor's Degree in Mathematics, Economics, Computer Science, Information Management or Statistics and 5+ years or equivalent experience.
Proven work experience as a Data Analyst or similar role supporting the Federal Government
Familiarity and understanding of database documentation, data integration and data migration (on-premise to Cloud)
Familiarity of working with AWS GovCloud environment.
Expertise in verbal and written skills to lead discussions and documentation efforts
Experience with Business Intelligence tools (specifically with Tableau)
Experience with ERWIN Data Modeler
Familiarity with Alation and NoMagic CAMEO Systems Modeler
Experience working using Agile Methodology following SAFe
program supports our federal customer who plays a key role in providing direct cybersecurity engineering support. This program provides systems and security engineering and integration support to specific Government-sponsored projects, pilots and prototypes. This includes solution planning and engineering, defining security requirements, target architecture, interoperability and integration, system testing, Verification and Validation, Modeling and Simulation, studies and analysis, post-deployment security validation (PDSV), and project risk management. As part of this team, you will contribute to the engineering of current and emerging cybersecurity systems, policies, and processes to enforce standards and identify vulnerabilities and capability gaps, and reduce cybersecurity risk of our customer networks.
The Data Analyst will report directly to the Data Management Lead. The Data Analyst brings technical expertise to ensure the quality and accuracy of that data is understood, then process, design, and present it in ways to help people, businesses, and organizations make better decisions.
Key Responsibilities:
Interpret data and analyze results using statistical techniques and provide ongoing reports
Analyze current and future data asset constructs and contents to be able to educate others
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Develop and implement Key Performance Indicators (KPIs) for data quality measurements, implement and document data quality compliance
Identify, analyze, and interpret trends or patterns in complex data sets to draw conclusions for managerial actions and strategy.
Develop approaches and processes and analyze procedures for identifying and validating enterprise Authoritative Data Sources.
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
95% REMOTE-either Sterling, VA or Rockville, MD
Data Analyst
Must have experience in the following areas:
More than five years of experience with handling and analyzing structured and unstructured data.
Proven working experience as a Data Analyst
Knowledge of data modeling and schema design
Strong knowledge of and experience with reporting packages (e.g., Tableau, PowerBI, Kibana)
Strong knowledge of and experience with databases (e.g., AWS S3, AWS Redshift, AWS RDS, PostgreSQL, Elastic)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Adept at writing SQL queries, report writing and presenting findings
Familiarity with DODAF artifacts, specifically OV-1, SV-1, SV-4, DIV-1, DIV-2, DIV-3
Preferred Education, Experience, & Skills
Bachelor's Degree in Mathematics, Economics, Computer Science, Information Management or Statistics and 5+ years or equivalent experience.
Proven work experience as a Data Analyst or similar role supporting the Federal Government
Familiarity and understanding of database documentation, data integration and data migration (on-premise to Cloud)
Familiarity of working with AWS GovCloud environment.
Expertise in verbal and written skills to lead discussions and documentation efforts
Experience with Business Intelligence tools (specifically with Tableau)
Experience with ERWIN Data Modeler
Familiarity with Alation and NoMagic CAMEO Systems Modeler
Experience working using Agile Methodology following SAFe
program supports our federal customer who plays a key role in providing direct cybersecurity engineering support. This program provides systems and security engineering and integration support to specific Government-sponsored projects, pilots and prototypes. This includes solution planning and engineering, defining security requirements, target architecture, interoperability and integration, system testing, Verification and Validation, Modeling and Simulation, studies and analysis, post-deployment security validation (PDSV), and project risk management. As part of this team, you will contribute to the engineering of current and emerging cybersecurity systems, policies, and processes to enforce standards and identify vulnerabilities and capability gaps, and reduce cybersecurity risk of our customer networks.
The Data Analyst will report directly to the Data Management Lead. The Data Analyst brings technical expertise to ensure the quality and accuracy of that data is understood, then process, design, and present it in ways to help people, businesses, and organizations make better decisions.
Key Responsibilities:
Interpret data and analyze results using statistical techniques and provide ongoing reports
Analyze current and future data asset constructs and contents to be able to educate others
Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Develop and implement Key Performance Indicators (KPIs) for data quality measurements, implement and document data quality compliance
Identify, analyze, and interpret trends or patterns in complex data sets to draw conclusions for managerial actions and strategy.
Develop approaches and processes and analyze procedures for identifying and validating enterprise Authoritative Data Sources.
Work with management to prioritize business and information needs
Locate and define new process improvement opportunities
#M2
