422 Data Analyst - Cyber Career Pathway
CLEAREDFor Open PublicationJan 28, 2021Department of DefenseOFFICE OF PREPUBLICATION AND SECURITY REVIEWCAREER PATHWAYDATA ANALYST(422)Developed By:The InteragencyFederal Cyber CareerPathways WorkingGroupEndorsed By:November 20201
Table of ContentsCAREER PATHWAY DATA ANALYST (422) . 11422-DATA ANALYST . 31.1Work Role Overview . 31.2Core Tasks. 61.3Core Knowledge, Skills, and Abilities . 81.4Core Competencies. 111.5Suggested Qualifications / Capability Indicators . 142APPENDIX: 422-DATA ANALYST TASK ANALYSIS AND KSA MAPPING .152.1Key to Reading the Task Analysis and KSA Mapping . 152.2422-Data Analyst Task Analysis and KSA Mapping . 162
1 422-DATA ANALYST1.1 WORK ROLE OVERVIEWThe table below provides an overview of various role-specific elements related to 422-Data Analyst.Table 1. 422-Data Analyst Work Role OverviewNICE Role DescriptionOPM OccupationalSeriesExamines data from multiple disparate sources with the goal of providing security andprivacy insight. Designs and implements custom algorithms, workflow processes, and layoutsfor complex, enterprise-scale data sets used for modeling, data mining, and researchpurposes.Personnel performing the 422-Data Analyst work role are most commonly aligned to thefollowing Occupational Series:-2210-Information Technology – 39%1515-Operations Research – 8%343-Management and Program Analysis – 7%1550- Computer Science – 6%301 – Miscellaneous Administration and Program – 4%Personnel performing the 422-Data Analyst work role are most commonly paired with thefollowing complimentary Work Roles (Top 5 shown):Work Role Pairings-411-Technical Support Specialist – 23%421-Database Administrator – 12%431-Knowledge Manager – 20%621-Software Developer – 6%641-Systems Requirements Planner – 5%Personnel performing the 422-Data Analyst work role may unofficially or alternatively becalled:Functional Titles-Business Intelligence AnalystChief Data Officer / Security OfficerData ArchitectData EngineerData ModelerData Protection OfficerData ScientistData Security AnalystData Security OfficerDatabase Security AnalystInformation Dissemination ManagerOperations Research Analyst3
Personnel performing the 422-Data Analyst work role are most commonly found within thefollowing grades on the General Schedule.Distribution of GSLevels- GS-4 – redacted** GS-5 – redacted** GS-6 – redacted** GS-7 – redacted** GS-8 – redacted** GS-9 – 5% GS-10 – redacted** GS-11 – 12% GS-12 – 20% GS-13 – 28% GS-14 – 10% GS-15 – redacted***20% of all personnel performing the 422-Data Analyst work role are in non-GS pay plans andare excluded from this section.**percentages less than 3% have been redactedThe following work roles are examples of possible roles an individual may perform prior totransitioning into the 422-Data Analyst work role:On Ramps-411-Technical Support Specialist421-Database Administrator431-Knowledge Manager621-Software Developer632-Systems DeveloperThe following work roles are examples of common transitions an individual may pursue afterhaving performed the 422-Data Analyst work role. This is not an exhaustive list, nor does itconsider learning and development opportunities an individual may pursue to preparethemselves for performing alternate work roles:Off Ramps-421-Database Administrator431-Knowledge Manager621-Software Developer632-Systems Developer661-Research and Development Specialist461-Systems Security Analyst511-Cyber Defense Analyst4
*Note: Leveraging the knowledge, skills, abilities, and tasks of the 422-Data Analyst workrole, individuals may prepare themselves to transition into one or more of the followingcross-functional work roles:-711- Cyber Instructional Curriculum Developer712-Cyber Instructor732-Privacy Officer / Privacy Compliance Manager751-Cyber Workforce Developer and Manager752-Cyber Policy and Strategy Planner802-IT Project Manager803-Product Support Manager5
1.2 CORE TASKSThe table below provides a list of tasks that represent the Core, or baseline, expectations forperformance in the 422-Data Analyst work role, as well as additional tasks that those in this role may beexpected to perform.Table 2. 422-Data Analyst Core TasksTask IDTaskCore or AdditionalT0007Analyze and define data requirements and specifications.CoreT0342Analyze data sources to provide actionable recommendations.CoreT0347Assess the validity of source data and subsequent findings.CoreT0349Collect metrics and trending data.CoreT0068Develop data standards, policies, and procedures.CoreT0385Provide actionable recommendations to critical stakeholders based on data analysis and findings.CoreT0146Manage the compilation, cataloging, caching, distribution, and retrieval of data.AdditionalT0195AdditionalT0210Provide a managed flow of relevant information (via web-based portals or other means) based onmission requirements.Provide recommendations on new database technologies and architectures.T0008Analyze and plan for anticipated changes in data capacity requirements.AdditionalT0351Conduct hypothesis testing using statistical processes.AdditionalT0353Confer with systems analysts, engineers, programmers, and others to design application.AdditionalDevelop and facilitate data-gathering methods.AdditionalT0366Develop strategic insights from large data sets.AdditionalT0381Present technical information to technical and nontechnical audiences.AdditionalT0382Present data in creative formats.AdditionalT0383Program custom algorithms.AdditionalT0392Utilize technical documentation or resources to implement a new mathematical, data science, orcomputer science method.Effectively allocate storage capacity in the design of data management systems.AdditionalRead, interpret, write, modify, and execute simple scripts (e.g., Perl, VBScript) on Windows and UNIXsystems (e.g., those that perform tasks such as: parsing large data files, automating manual tasks, andfetching/processing remote data).Utilize different programming languages to write code, open files, read files, and write output todifferent files.Utilize open source language such as R and apply quantitative techniques (e.g., descriptive andinferential statistics, sampling, experimental design, parametric and non-parametric tests of difference,ordinary least squares regression, general lAdditionalAdditionalAdditional6
Task IDT0460TaskDevelop and implement data mining and data warehousing programs.Core or AdditionalAdditional7
1.3 CORE KNOWLEDGE, SKILLS, AND ABILITIESThe table below provides a ranking of KSAs that represent the Core, or baseline, expectations forperformance in the 422-Data Analyst work role, as well as additional KSAs that those in this role may beexpected to demonstrate.Table 3. 422-Data Analyst Core Knowledge, Skills, and AbilitiesKSAIDDescriptionCompetencyImportance toWork RoleK0004Knowledge of cybersecurity and privacy principles.Information Systems/NetworkSecurityFoundational toAll Work RolesK0001Knowledge of computer networking concepts and protocols, and networksecurity methodologies.Knowledge of laws, regulations, policies, and ethics as they relate tocybersecurity and privacy.Infrastructure DesignFoundational toAll Work RolesFoundational toAll Work RolesRisk ManagementK0005Knowledge of risk management processes (e.g., methods for assessing andmitigating risk).Knowledge of cyber threats and vulnerabilities.K0006Knowledge of specific operational impacts of cybersecurity lapses.Vulnerabilities AssessmentS0129Skill in using outlier identification and removal techniques.Computer Network DefenseFoundational toAll Work RolesFoundational toAll Work RolesFoundational toAll Work RolesCoreS0109Skill in identifying hidden patterns or relationships.Data AnalysisCoreS0125Skill in using basic descriptive statistics and techniques (e.g., normality, modeldistribution, scatter plots).Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS).Data AnalysisCoreData ManagementCoreDatabase ManagementSystemsDatabase ManagementSystemsCoreS0037Skill in conducting queries and developing algorithms to analyze datastructures.Skill in generating queries and reports.K0016Knowledge of computer programming principlesComputer LanguagesAdditionalK0051Knowledge of low-level computer languages (e.g., assembly languages).Computer LanguagesAdditionalK0068Knowledge of programming language structures and logic.Computer LanguagesAdditionalK0139Knowledge of interpreted and compiled computer languages.Computer LanguagesAdditionalK0140Knowledge of secure coding techniques.Computer LanguagesAdditionalK0236Knowledge of how to utilize Hadoop, Java, Python, SQL, Hive, and Pig toexplore data.Computer LanguagesAdditionalS0060Skill in writing code in a currently supported programming language (e.g., Java,C ).Computer LanguagesAdditionalK0003K0002S0126S0013Legal, Government, andJurisprudenceVulnerabilities AssessmentCore8
KSAIDDescriptionCompetencyImportance toWork RoleS0094Skill in reading Hexadecimal data.Computer LanguagesAdditionalS0095Skill in identifying common encoding techniques (e.g., Exclusive Disjunction[XOR], American Standard Code for Information Interchange [ASCII], Unicode,Base64, Uuencode, Uniform Resource Locator [URL] encode).Skill in writing scripts using R, Python, PIG, HIVE, SQL, etc.Computer LanguagesAdditionalComputer LanguagesAdditionalComputer LanguagesAdditionalS0017Ability to build complex data structures and high-level programminglanguages.Skill in creating and utilizing mathematical or statistical models.Data AnalysisAdditionalS0114Skill in performing sensitivity analysis.Data AnalysisAdditionalS0118Skill in developing machine understandable semantic ontologies.Data AnalysisAdditionalS0119Skill in Regression Analysis (e.g., Hierarchical Stepwise, Generalized LinearModel, Ordinary Least Squares, Tree-Based Methods, Logistic).Skill in transformation analytics (e.g., aggregation, enrichment, processing).Data AnalysisAdditionalData AnalysisAdditionalData AnalysisAdditionalK0020Ability to use data visualization tools (e.g., Flare, HighCharts, AmCharts, D3.js,Processing, Google Visualization API, Tableau, Raphael.js).Knowledge of data administration and data standardization policies.Data ManagementAdditionalK0022Knowledge of data mining and data warehousing principles.Data ManagementAdditionalK0083Data ManagementAdditionalData ManagementAdditionalS0202Knowledge of sources, characteristics, and uses of the organization’s dataassets.Knowledge of the capabilities and functionality associated with varioustechnologies for organizing and managing information (e.g., databases,bookmarking engines).Skill in data mining techniques (e.g., searching file systems) and analysis.Data ManagementAdditionalS0028Skill in developing data dictionaries.Data ManagementAdditionalS0106Skill in data pre-processing (e.g., imputation, dimensionality reduction,normalization, transformation, extraction, filtering, smoothing).Data ManagementAdditionalS0113Skill in performing format conversions to create a standard representation ofthe data.Skill in using data mapping tools.Data ManagementAdditionalData ManagementAdditionalData ManagementAdditionalData ManagementAdditionalK0193Skill to identify sources, characteristics, and uses of the organization’s dataassets.Ability to accurately and completely source all data used in intelligence,assessment and/or planning products.Knowledge of advanced data remediation security features in databases.Database AdministrationAdditionalK0420Knowledge of database theory.Database AdministrationAdditionalK0023Knowledge of database management systems, query languages, tablerelationships, and views.Knowledge of query languages such as SQL (structured query language).Database ManagementSystemsDatabase 95S0127S0369A0066K0069Additional9
KSAIDImportance toWork RoleDescriptionCompetencyKnowledge of database access application programming interfaces (e.g., JavaDatabase Connectivity [JDBC]).Knowledge of digital rights management.Database ManagementSystemsEncryptionAdditionalSkill in one-way hash functions (e.g., Secure Hash Algorithm [SHA], MessageDigest Algorithm [MD5]).Knowledge of enterprise messaging systems and associated software.EncryptionAdditionalEnterprise ArchitectureAdditionalIdentity ManagementAdditionalK0065Knowledge of network access, identity, and access management (e.g., publickey infrastructure, Oauth, OpenID, SAML, SPML).Knowledge of policy-based and risk adaptive access controls.Identity ManagementAdditionalK0015Knowledge of computer algorithms.Mathematical ReasoningAdditionalK0052Knowledge of mathematics (e.g. logarithms, trigonometry, linear algebra,calculus, statistics, and operational analysis).Mathematical ReasoningAdditionalK0238Knowledge of machine learning theory and principles.Mathematical ReasoningAdditionalK0325Knowledge of Information Theory (e.g., source coding, channel coding,algorithm complexity theory, and data compression).Mathematical ReasoningAdditionalS0029Skill in developing data models.Modeling and SimulationAdditionalS0103Skill in assessing the predictive power and subsequent generalizability of amodel.Modeling and SimulationAdditionalS0160Skill in the use of design modeling (e.g., unified modeling language).Modeling and SimulationAdditionalK0060Knowledge of operating systems.Operating SystemsAdditionalK0129Knowledge of command-line tools (e.g., mkdir, mv, ls, passwd, grep).Operating SystemsAdditionalA0035Ability to dissect a problem and examine the interrelationships between datathat may appear unrelated.Ability to identify basic common coding flaws at a high level.Problem SolvingAdditionalSoftware Testing andEvaluationSystem AdministrationAdditionalThreat 229S0088Knowledge of applications that can log errors, exceptions, and applicationfaults and logging.Skill in using binary analysis tools (e.g., Hexedit, command code xxd,hexdump).AdditionalAdditional10
1.4 CORE COMPETENCIESThe table below is a compilation of competencies aligned to the 422-Data Analyst work role, and theirassociated importance. Listed competencies are collections of three or more similar Knowledge, Skills,or Abilities aligned to the Work Role. These competencies originate from the NICE FrameworkCompetency Pivot Tool.Table 4. 422-Data Analyst Core k Role Related KSAs-Data AnalysisC012KSAs that relate to collecting,synthesizing, and/or analyzingqualitative and quantitativedata and information from avariety of sources to reach adecision, make arecommendation, and/orcompile reports, briefings,executive summaries, andother correspondence----DataManagementC013KSAs that relate to thedevelopment and executionof data management plans,programs, practices,processes, architectures, andtools that manage, control,protect, deliver, archive,dispose of, and enhance thevalue of data and informationassets.---ImportanceSkill in creating and utilizing mathematical orstatistical models.Skill in identifying hidden patterns or relationships.Skill in performing sensitivity analysis.Skill in developing machine understandable semanticontologies.Skill in Regression Analysis (e.g., HierarchicalStepwise, Generalized Linear Model, Ordinary LeastSquares, Tree-Based Methods, Logistic).Skill in transformation analytics (e.g., aggregation,enrichment, processing).Skill in using basic descriptive statistics andtechniques (e.g., normality, model distribution,scatter plots).Ability to use data visualization tools (e.g., Flare,HighCharts, AmCharts, D3.js, Processing, GoogleVisualization API, Tableau, Raphael.js).Knowledge of data administration and datastandardization policies.Knowledge of data mining and data warehousingprinciples.Knowledge of sources, characteristics, and uses ofthe organization’s data assets.Knowledge of the capabilities and functionalityassociated with various technologies for organizingand managing information (e.g., databases,bookmarking engines).Skill in data mining techniques (e.g., searching filesystems) and analysis.Skill in developing data dictionaries.Skill in data pre-processing (e.g., imputation,dimensionality reduction, normalization,transformation, extraction, filtering, smoothing).Skill in performing format conversions to create astandard representation of the data.Skill in using data analysis tools (e.g., Excel, STATASAS, SPSS).Skill in using data mapping tools.CoreCore11
TechnicalCompetencyCompIDDefinitionWork Role Related KSAs--DatabaseManagementSystemsC016KSAs that relate to the use ofdatabase managementsystems and software tocontrol the organization,storage, retrieval, security,and integrity of data.--ComputerLanguagesC006KSAs that relate to computerlanguages and theirapplications to enable asystem to perform specificfunctions.--MathematicalReasoningC031KSAs that relate to devisingstrategies to solve a widevariety of math problems anddetermine if an assertion iscorrect.--Skill to identify sources, characteristics, and uses ofthe organization’s data assets.Ability to accurately and completely source all dataused in intelligence, assessment and/or planningproducts.Knowledge of database management systems, querylanguages, table relationships, and views.Knowledge of query languages such as SQL(structured query language).Knowledge of database access applicationprogramming interfaces (e.g., Java DatabaseConnectivity [JDBC]).Skill in conducting queries and developing algorithmsto analyze data structures.Skill in generating queries and reports.Knowledge of computer programming principlesKnowledge of low-level computer languages (e.g.,assembly languages).Knowledge of programming language structures andlogic.Knowledge of interpreted and compiled computerlanguages.Knowledge of secure coding techniques.Knowledge of how to utilize Hadoop, Java, Python,SQL, Hive, and Pig to explore data.Skill in writing code in a currently supportedprogramming language (e.g., Java, C ).Skill in reading Hexadecimal data.Skill in identifying common encoding techniques (e.g.,Exclusive Disjunction [XOR], American Standard Codefor Information Interchange [ASCII], Unicode, Base64,Uuencode, Uniform Resource Locator [URL] encode).Skill in writing scripts using R, Python, PIG, HIVE, SQL,etc.Ability to build complex data structures and highlevel programming languages.Knowledge of computer algorithms.Knowledge of mathematics (e.g. logarithms,trigonometry, linear algebra, calculus, statistics, andoperational analysis).Knowledge of machine learning theory andprinciples.Knowledge of Information Theory (e.g., sourcecoding, channel coding, algorithm complexity theory,and data compression).ImportanceCoreAdditionalAdditional12
TechnicalCompetencyModeling andSimulationCompIDDefinitionC032KSAs that relate tomathematical modeling andsimulation tools andtechniques to plan andconduct test and evaluationprograms, characterizesystems support decisionsinvolving requirements,evaluate design alternatives,or support operationalpreparation.Work Role Related KSAs-Skill in developing data models.Skill in assessing the predictive power andsubsequent generalizability of a model.Skill in the use of design modeling (e.g., unifiedmodeling language).ImportanceAdditional13
1.5 SUGGESTED QUALIFICATIONS / CAPABILITY INDICATORSTable 5. 422-Data Analyst Suggested Qualifications / Capability IndicatorsFor indicators of capability for the 422-Data Analyst work role, please see Draft NISTR 8193 - NationalInitiative for Cybersecurity Education (NICE) Framework Work Role Capability Indicators.Section to be populated with updated DoD-8140 Qualification Matrix for 422-Data Analyst.14
2 APPENDIX: 422-DATA ANALYST TASK ANALYSIS ANDKSA MAPPING2.1 KEY TO READING THE TASK ANALYSIS AND KSA MAPPINGTable 6. Key to Reading the Task Analysis and KSA MappingProficiencyAs WrittenEntryIntermediateAdvancedTask StatementTask as written within the NICE Cybersecurity Workforce Framework (NICE Framework).ImportanceOverall Importance to WorkRoleExample behavioral indicator / task permutation for performing this task at an Entry skills proficiency level.Example behavioral indicator / task permutation for performing this task at an Intermediate skills proficiency level.Example behavioral indicator / task permutation for performing this task at an Advanced skills proficiency level.Table 7. Primary Knowledge, Skills, and Abilities Required to Perform the above TaskKSA IDDescriptionCompetencyID of K, S, or AKnowledge, Skill or Ability needed to perform the task as written within the NICE FrameworkCompetency mapped to theindividual K, S, or A.15
2.2 422-DATA ANALYST TASK ANALYSIS AND KSA MAPPINGTable 8. T0007 Task AnalysisProficiencyAs k StatementAnalyze and define data requirements and specifications.ImportanceCoreExtract and assist with the analysis and documentation data requirements and specifications.Extract, analyze, define, and document data requirements and specifications.Lead, review, and approve data requirements and specifications.Table 9. Primary Knowledge, Skills, and Abilities Required to Perform the above TaskKSA IDS0125CompetencyData AnalysisK0022DescriptionSkill in using basic descriptive statistics and techniques (e.g., normality, model distribution,scatter plots).Knowledge of data mining and data warehousing principles.K0083Knowledge of sources, characteristics, and uses of the organization’s data assets.Data ManagementK0095Data ManagementS0028Knowledge of the capabilities and functionality associated with various technologies fororganizing and managing information (e.g., databases, bookmarking engines).Skill in developing data dictionaries.S0126Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS).Data ManagementS0369Skill to identify sources, characteristics, and uses of the organization’s data assets.Data ManagementK0023S0013Knowledge of database management systems, query languages, table relationships, andviews.Skill in conducting queries and developing algorithms to analyze data structures.S0037Skill in generating queries and reports.Database ManagementSystemsDatabase ManagementSystemsDatabase ManagementSystemsData ManagementData Management16
Table 10. T0342 Task AnalysisProficiencyAs k StatementAnalyze data sources to provide actionable recommendations.ImportanceCoreAssist with the documentation and analysis of data sources to provide actionable recommendations.Analyze and document data sources to provide actionable recommendations based off of various resources.Lead analysis and documentation of complex data sources and / or approve and report actionable recommendations.Table 11. Primary Knowledge, Skills, and Abilities Required to Perform the above TaskKSA IDK0068DescriptionKnowledge of programming language structures and logic.CompetencyComputer LanguagesS0130Skill in writing scripts using R, Python, PIG, HIVE, SQL, etc.Computer LanguagesS0129Skill in using outlier identification and removal techniques.S0017Skill in creating and utilizing mathematical or statistical models.Computer NetworkDefenseData AnalysisS0109Skill in identifying hidden patterns or relationships.Data AnalysisS0119Skill in Regression Analysis (e.g., Hierarchical Stepwise, Generalized Linear Model, OrdinaryLeast Squares, Tree-Based Methods, Logistic).Skill in transformation analytics (e.g., aggregation, enrichment, processing).Data AnalysisData AnalysisS0113Skill in using basic descriptive statistics and techniques (e.g., normality, model distribution,scatter plots).Ability to use data visualization tools (e.g., Flare, HighCharts, AmCharts, D3.js, Processing,Google Visualization API, Tableau, Raphael.js).Skill in performing format conversions to create a standard representation of the data.S0126Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS).Data ManagementS0369Skill to identify sources, characteristics, and uses of the organization’s data assets.Data ManagementS0013Skill in conducting queries and developing algorithms to analyze data structures.S0037Skill in generating queries and reports.Database ManagementSystemsDatabase ManagementSystemsS0123S0125A0041Data AnalysisData AnalysisData Management17
Table 12. T0347 Task AnalysisProficiencyAs k StatementAssess the validity of source data and subsequent findings.ImportanceCoreAssess routine data source, assist with assessing of non-routine data source and subsequent findings.Establish the parameters and thresholds that define routine data and assess the validity of source data andsubsequent findings.Define the standards by which a data source is validated, provide oversight, and ensure quality of source dataassessment and subsequent findings.Table 13. Primary Knowledge, Skills, and Abilities Required to Perform the above TaskKSA IDS0017DescriptionSkill in creating and utilizing mathematical or statistical models.CompetencyData AnalysisS0109Skill in identifying hidden patterns or relationships.Data AnalysisS0123Skill in transformation analytics (e.g., aggregation, enrichment, processing).Data AnalysisS0125Data AnalysisK0083Skill in using basic descriptive statistics and techniques (e.g., normality, model distribution,scatter plots).Knowledge of sources, characteristics, and uses of the organization’s data assets.S0113Skill in performing format conversions to create a standard representation of the data.Data ManagementS0126Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS).Data ManagementS0369Skill to identify sources, characteristics, and uses of the organization’s data assets.Data ManagementA0066Ability to accurately and completely source all data used in intelligence, assessment and/orplanning products.Data ManagementData Management18
Table 14. T0349 Task AnalysisProficiencyAs k StatementImportanceCollect metrics and trending data.CoreAssist with the collection of metrics and trending data.Collect and document metrics and trending data.Define the standards of metrics, while overseeing the collection, documentation, and reporting of metrics and trendingdata.Table 15. Primary Knowledge, Skills, and Abilities Required to Perform the above TaskKSA IDS0017DescriptionSkill in creating and utilizing mathematical or statistical models.CompetencyData AnalysisS0109Skill in identifying hidden patterns or relationships.Data AnalysisS0123Skill in transformation analytics (e.g., aggregation, enrichment, processing).Data AnalysisS0125Data AnalysisS0126Skill in using basic descriptive statistics and techniques (e.g., normality, model distribution,scatter plots).Ability to use data visualization tools (e.g., Flare, HighCharts, AmCharts, D3.js, Processing,Google Visualization API, Tableau, Raphael.js).Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS).S0369Skill to identify sources, characteristics, and uses of the organization’s data assets.Data ManagementS0013Skill in conducting queries and developing algorithms to analyze data structures.S0037Skill in generating queries and reports.Database ManagementSystemsDatabase ManagementSystemsA0041Data AnalysisData Management19
Table 16. T0068 Task AnalysisProficiencyAs k StatementDevelop data standards, policies, and procedures.ImportanceCoreResearch and gather data standards, policies, and procedures, providing recommendations as applicable.Develop impact, cost benefit analysis, and gap reports in support of recommended data standards, policies, andprocedures, providing recommendations as applicable.Oversee the approval and development of data standards, policies, and procedures, ensuring alignment to theorganization's mission.Table 17. Primary Knowledge, Skills, and Abilities Required to Perform the above TaskKSA IDK0020DescriptionKnowledge of data administration and data standardization policies.CompetencyData ManagementK0022Knowledge of data mining and data warehousing principles.Data ManagementK0083Knowledge of sources, characteristics, and uses of the organization’s data assets.Data ManagementK0095Data ManagementS0028Knowledge of the capabilities and functionality associated with various technologies fororganizing and managing information (e.g., databases, bookmarking engines).Skill in developing data dictionaries.S0369Skill to identify sources, characteristics, and uses of the organization’s data assets.Data ManagementK0420Knowledge of database theory.DatabaseAdministrationData Management20
Table 18. T0385 Task AnalysisProficiencyAs k StatementProvide actionable recommendations to critical stakeholders based on data analysis andfindings.ImportanceCoreAssist with developing communications on actionable recom
1 422-DATA ANALYST. 1.1 W. ORK . R. OLE . O. VERVIEW. The table below provides an overview of various role-specific elements related to 422-Data Analyst. Table 1. 422-Data Analyst Work Role Overview. NICE Role Description . Examines data from multiple disparate sources with the goal of providing security and privacy insight.
Introduction to the SOC and the Tier 1 Analyst Role Operating System Security Analysing Advanced Threats Week 1 Week 2 Week 3 Week 4 Week 5 Incident Response . Certification Quiz Week 6 DUE 1st day of Week 8 Week 9 Week 12 Cyber Security Analyst Course Outline. Cyber Security Analyst Course Outline TECHNICAL REQUIREMENTS CAREERS Hardware and .
Cyber Vigilance Cyber Security Cyber Strategy Foreword Next Three fundamental drivers that drive growth and create cyber risks: Managing cyber risk to grow and protect business value The Deloitte CSF is a business-driven, threat-based approach to conducting cyber assessments based on an organization's specific business, threats, and capabilities.
DB9 Female to DB9 Female RS-422 207M SMPTE Cable (Part# CA190) The CA190 connects any Sealevel DB9 RS-422 device to a Sony (or compatible) 207M (SMPTE) 9 Pin connector. DB9 Female (RS-422) to DB9 Female (Opto 22 Optomux) Converter (Part# DB103) The DB103 is designed to convert a Sealevel DB9 male RS-422 connector to a DB9 female pinout compatible
CAREER PATHWAY CYBER INSTRUCTIONAL CURRICULUM DEVELOPER \(711\) 1. . - Education Program Administrator - Education Research Analyst - Education Services Specialist . - 411-Technical Support Specialist - 421-Database Administrator - 422-Data Analyst - 431-Knowledge Manager
risks for cyber incidents and cyber attacks.” Substantial: “a level which aims to minimise known cyber risks, cyber incidents and cyber attacks carried out by actors with limited skills and resources.” High: “level which aims to minimise the risk of state-of-the-art cyber attacks carried out by actors with significant skills and .
Cyber Security Training For School Staff. Agenda School cyber resilience in numbers Who is behind school cyber attacks? Cyber threats from outside the school Cyber threats from inside the school 4 key ways to defend yourself. of schools experienced some form of cyber
the 1st Edition of Botswana Cyber Security Report. This report contains content from a variety of sources and covers highly critical topics in cyber intelligence, cyber security trends, industry risk ranking and Cyber security skills gap. Over the last 6 years, we have consistently strived to demystify the state of Cyber security in Africa.
UNITED STATES DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration NATIONAL MARINE FISHERIES SERVICE Northwest Region 7600 Sand Point Way N.E., Bldg. 1 Seattle, WA 98115 Refer to NMFS Nos.: FS: 2008/03505 BLM: 2008/03506 BIA: 2008/03507 June 27, 2008 Calvin Joyner Edward W. Shepard Acting Regional Forester, Region 6 Director, Oregon/Washington USDA Forest Service USDI Bureau .
