Data Analyst, Senior

• Manipulate and clean large, disparate datasets for bulk analysis to identify connections
• Utilize different programming languages to modify, write, and execute code, open, read, and modify files, and write output to different files
• Provide actionable recommendations to critical stakeholders based on data analysis and findings
• Solicit and engage with analysts across your host client team to understand data flow challenges, and gaps in tool or data set knowledge, and brainstorm methods to streamline analytic workflows
• Work as part of a team with government, military, and contractor personnel across organizations to research, develop, optimize, test, and document data-related tradecraft, leverage and utilize data source acquisitions and accesses, and troubleshoot data flow issues related to mission needs
• Generate actionable recommendations, strategic insights, and data-centric solutions through the collection, interpretation, evaluation, and analysis of large data sets
• Use your data analytics expertise to support client and stakeholder relationships
• Research, develop, and test data methodologies, and generate cross-functional solutions through analysis and interpretation of large data sets
• Contribute to impactful work and guide decision-making across multiple organizations
• Apply consulting skills and data analytics expertise by simplifying technical requirements and trends for both technical and non-technical audiences
• Present data findings and recommendations to clients and stakeholders using your knowledge of databases, languages such as SQL and Python, and Microsoft Office Suite
• Establish and collect quantitative and qualitative metrics, trend data, and key performance indicators to drive business decisions and technical outcomes
• Apply basic data visualizations through different formats
• Work with us to drive large-scale business and process decisions through data insights

• Experience with classified, collateral, and OSINT data sources and query functionalities
• Experience developing fingerprints, micro-plugins, analytics, and notebooks using client discovery and analytic tools
• Experience converting data into various formats and preserving meaning
• Experience as a cyber analyst, including TDNA or DNEA
• Knowledge of Python, SQL, and regex
• Ability to select data, join, and enrich various datasets
• Ability to communicate technical information and recommendations to peers, engineers, and analytic customers
• Ability to travel up to 25% of the time
• TS/SCI clearance with a polygraph
• HS diploma or GED and 6+ years of experience with data analytics, or Bachelor’s degree and 4+ years of experience with data analytics

Experience working with NiFi

• health benefits
• life insurance
• disability insurance
• financial benefits
• retirement benefits
• paid leave
• professional development
• tuition assistance
• work-life programs
• dependent care
• recognition awards program