What are the responsibilities and job description for the Sr. Data Analyst - Navy - Top Secret/SCI Required position at cFocus Software Incorporated?
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:
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.
- 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.
