Sr. Data Analyst Navy Top SecretSCI Required

Dahlgren, VA - USA

Monthly Salary: Not Disclosed

Posted on: 17 hours ago

Vacancies: 1 Vacancy

Job Summary

cFocus Software seeks a Sr. Data Analyst to join our program supporting the Department of Defense (DoD). This position is remote. This position requires the ability to obtain a Top Secret/SCI clearance.

Qualifications:

Six (6) years of professional experience in relation to analysis design and development related to data warehousing and integration capabilities.
Experience with requirements developing definition and application designs in the form of logical data models data interface specifications on-line query and report specifications structured query language (SQL) database performance loading specifications and data validation specifications.
Experience with data warehouse development and design data knowledge acquisition legacy conversion specifications and design of data structures/load specifications and knowledge of Working Capital Fund and Enterprise Resource Planning (ERP) financial and human resources systems methods and strategies for data warehousing.

Duties:

Lead data analysis and reporting activities to support program performance measurement and decision-making.
Design and develop dashboards data visualizations and reports to communicate key metrics and trends.
Collect clean and validate large and complex data sets from multiple sources to ensure accuracy and consistency.
Perform quantitative and qualitative analyses to identify patterns correlations and opportunities for process improvement.
Support predictive modeling statistical analysis and performance forecasting to inform management strategies.
Develop and maintain automated data pipelines workflows and documentation for recurring reporting requirements.
Collaborate with technical and functional teams to define data requirements KPIs and reporting standards.
Ensure compliance with data governance security and confidentiality policies in handling sensitive information.
Prepare and present data insights and findings to leadership and stakeholders in clear concise formats.
Train and mentor junior analysts on data analysis tools techniques and best practices.
Support the integration of analytics with other enterprise systems including financial operational and cybersecurity systems.

Required Experience:

Senior IC

Six (6) years of professional experience in relation to analysis design and development related to data warehousing and integration capabilities.
Experience with requirements developing definition and application designs in the form of logical data models data interface specifications on-line query and report specifications structured query language (SQL) database performance loading specifications and data validation specifications.
Experience with data warehouse development and design data knowledge acquisition legacy conversion specifications and design of data structures/load specifications and knowledge of Working Capital Fund and Enterprise Resource Planning (ERP) financial and human resources systems methods and strategies for data warehousing.

Duties:

Lead data analysis and reporting activities to support program performance measurement and decision-making.
Design and develop dashboards data visualizations and reports to communicate key metrics and trends.
Collect clean and validate large and complex data sets from multiple sources to ensure accuracy and consistency.
Perform quantitative and qualitative analyses to identify patterns correlations and opportunities for process improvement.
Support predictive modeling statistical analysis and performance forecasting to inform management strategies.
Develop and maintain automated data pipelines workflows and documentation for recurring reporting requirements.
Collaborate with technical and functional teams to define data requirements KPIs and reporting standards.
Ensure compliance with data governance security and confidentiality policies in handling sensitive information.
Prepare and present data insights and findings to leadership and stakeholders in clear concise formats.
Train and mentor junior analysts on data analysis tools techniques and best practices.
Support the integration of analytics with other enterprise systems including financial operational and cybersecurity systems.