SourceFly LLC
Job Description
We are seeking a Data Analyst to join our team in support of a customer in the national security sector.
What You Will Do:
This Data Analyst role will work as part of a Knowledge Management Team (KMT) to support data visualization, business analytics, data management, and digital engineering processes for the Expeditionary Operations Office at the National Geospatial-Intelligence Agency (NGA). A strong understanding of data visualization is essential to help the program understand how to effectively monitor its operations through reporting dashboards, tools, and the creation of data sets. This role will be co-located with the KMT team on client site and requires excellent communication skills to coordinate status updates and visualization or digital engineering initiatives. Seeking a candidate with the ability to proactively identify program needs and help the office mature its operational reporting, business analytics, and data processes in line with technology/data solutions advancement. Specific duties will include: • Apply extensive knowledge to integrate, develop, and maintain analytic visualizations, and tools to evaluate and communicate office status/operations. • Work with multiple types of data sources, including data at varying maturity levels, and consolidate/create relationships to maximize information output. • Provide support with the interpretation of a wide range of data to help understand and improve the customer's experience. • Develop and maintain Tableau dashboard visualizations to address office questions and catered to specific audience groups. • Provide insights that will be used to inform decisions and agency operational strategies. • Manage an inventory of implemented dashboards, other analytic products and current product backlog for implementation.
Requirements: • ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance; must UPGRADE and MAINTAIN a TS/SCI with a COUNTERINTELLIGENCE (CI) polygraph • Bachelor's Degree • Minimum of 11 years of working experience • Demonstrated experience developing visualizations and conducting data analysis • Demonstrated experience utilizing computer programs, software, or a variety of coding languages
Desired Experience: • Demonstrated experience developing visualizations in Tableau. • Demonstrated experience utilizing computer programs, software, or a variety of coding languages. • Demonstrated ability to proactively identify methods and approaches to expand and enhance the analytic capacity. • Demonstrated experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, etc.). • Demonstrated experience data mining, to include developing, manipulating, or maintaining databases. • Experience with Python, MySQL, D3, SPSS, SAS, Visual Basic, or R to summarize statistical data and create documents, reports and presentations. • Demonstrated experience effectively communicating with various partners, stakeholders, or customers on the value of statistical and data science methods. • Demonstrated experience embracing and participating in a culture of knowledge sharing to broaden the understanding of advanced methods.
What You Will Do:
This Data Analyst role will work as part of a Knowledge Management Team (KMT) to support data visualization, business analytics, data management, and digital engineering processes for the Expeditionary Operations Office at the National Geospatial-Intelligence Agency (NGA). A strong understanding of data visualization is essential to help the program understand how to effectively monitor its operations through reporting dashboards, tools, and the creation of data sets. This role will be co-located with the KMT team on client site and requires excellent communication skills to coordinate status updates and visualization or digital engineering initiatives. Seeking a candidate with the ability to proactively identify program needs and help the office mature its operational reporting, business analytics, and data processes in line with technology/data solutions advancement. Specific duties will include: • Apply extensive knowledge to integrate, develop, and maintain analytic visualizations, and tools to evaluate and communicate office status/operations. • Work with multiple types of data sources, including data at varying maturity levels, and consolidate/create relationships to maximize information output. • Provide support with the interpretation of a wide range of data to help understand and improve the customer's experience. • Develop and maintain Tableau dashboard visualizations to address office questions and catered to specific audience groups. • Provide insights that will be used to inform decisions and agency operational strategies. • Manage an inventory of implemented dashboards, other analytic products and current product backlog for implementation.
Requirements: • ACTIVE and MAINTAINED TS/SCI Federal or DoD security clearance; must UPGRADE and MAINTAIN a TS/SCI with a COUNTERINTELLIGENCE (CI) polygraph • Bachelor's Degree • Minimum of 11 years of working experience • Demonstrated experience developing visualizations and conducting data analysis • Demonstrated experience utilizing computer programs, software, or a variety of coding languages
Desired Experience: • Demonstrated experience developing visualizations in Tableau. • Demonstrated experience utilizing computer programs, software, or a variety of coding languages. • Demonstrated ability to proactively identify methods and approaches to expand and enhance the analytic capacity. • Demonstrated experience working with commercial-off-the-shelf (COTS) statistical software or tools for data visualization (i.e., SPSS, SAS, MatLab, etc.). • Demonstrated experience data mining, to include developing, manipulating, or maintaining databases. • Experience with Python, MySQL, D3, SPSS, SAS, Visual Basic, or R to summarize statistical data and create documents, reports and presentations. • Demonstrated experience effectively communicating with various partners, stakeholders, or customers on the value of statistical and data science methods. • Demonstrated experience embracing and participating in a culture of knowledge sharing to broaden the understanding of advanced methods.