* Knowledge of computer networking concepts and protocols, and network security methodologies.

Knowledge of data mining and data warehousing principles.

Knowledge of query languages such as SQL (structured query language).

* Knowledge of risk management processes (e.g., methods for assessing and mitigating risk).

Skill in conducting queries and developing algorithms to analyze data structures.

Skill in generating queries and reports.

Ability to interpret and incorporate data from multiple tool sources.

* Knowledge of national and international laws, regulations, policies, and ethics as they relate to cybersecurity.

* Knowledge of cybersecurity principles.

* Knowledge of cyber threats and vulnerabilities.

Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means.

Analyze data sources to provide actionable recommendations.

Collect metrics and trending data.

Develop strategic insights from large data sets.

Present technical information to technical and non-technical audiences.

Manipulate and clean large, disparate datasets for bulk analysis to identify connections.

Ability to identify basic common coding flaws at a high level.

Ability to use data visualization tools (e.g., Flare, HighCharts, AmCharts, D3.js, Processing, Google Visualization API, Tableau, Raphael.js).

Knowledge of how to utilize Hadoop, Java, Python, SQL, Hive, and PIG to explore data.

Read, interpret, write, modify, and execute scripts, macros, and functions.

Skill in identifying hidden patterns or relationships.

Skill in using basic descriptive statistics and techniques (e.g., normality, model distribution, scatter plots).

Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS).

Utilize different programming languages to write code, open files, read files, and write output to different files.

* Knowledge of specific operational impacts of cybersecurity lapses.

* Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a Service (IaaS), and Platform as a Service (PaaS).

* Knowledge of cloud computing deployment models in private, public, and hybrid environment and the difference between on-premises and off-premises environments.

Knowledge of how to collect, store, and monitor data.

Knowledge of how to structure and display data.

Knowledge of how to use data to tell a story.

Provide a managed flow of relevant information (via web-based portals or other means) based on a mission requirements.

Knowledge of the organization’s core business/mission processes.

Knowledge of Personally Identifiable Information (PII) data security standards.

Knowledge of Personal Health Information (PHI) data security standards.

Analyze data sources to provide actionable recommendations.

Present data in creative formats.

Provide actionable recommendations to critical stakeholders based on data analysis and findings.

Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.

Skill in communicating with all levels of the organization, including senior/mid-level executives, and operational-level personnel (e.g., interpersonal skills, approachability, effective listening skills, appropriate use of style and language for the audience).

Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).

Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.