Data/AI (DA)
IO-WRL-001
DCWF 422
Data Analyst
Analyzes and interprets data from multiple disparate sources and builds visualizations and dashboards to report insights.
Tasks
The concrete work activities defined for this role in the DCWF v5.1 spreadsheet. Core tasks are required for the role; additional tasks are associated but not mandatory.
- T5030 additional Analyze data sources to provide actionable recommendations.
- T5100 additional Collect metrics and trending data.
- T5270 additional Develop strategic insights from large data sets.
- T5430 additional Present technical information to technical and non-technical audiences.
- T5440 additional Present data in creative formats.
- T5570 additional Provide actionable recommendations to critical stakeholders based on data analysis and findings.
- T5896 additional Maintain current knowledge of advancements in DoD AI Ethical Principles and Responsible AI.
- T5899 additional Manipulate and clean large, disparate datasets for bulk analysis to identify connections.
- T6470A additional Read, interpret, write, modify, and execute scripts, macros, and functions.
- T6780 additional Utilize different programming languages to write code, open files, read files, and write output to different files.
- T796 additional Provide a managed flow of relevant information (via web-based portals or other means) based on a mission requirements.
Knowledge, Skills, and Abilities
KSA statements define what a person filling this role knows or can do. "Knowledge" is what they must know, "Skill" is what they can perform, and "Ability" is a durable capacity they bring to the work.
- A1120 ability core Ability to interpret and incorporate data from multiple tool sources.
- A3022 ability core Ability to communicate complex information, concepts, or ideas in a confident and well-organized manner through verbal, written, and/or visual means.
- A6130 ability core Ability to identify basic common coding flaws at a high level.
- A6180 ability core Ability to use data visualization tools (e.g., Flare, HighCharts, AmCharts, D3.js, Processing, Google Visualization API, Tableau, Raphael.js).
- K0031 knowledge core Knowledge of data mining and data warehousing principles.
- K0104 knowledge core Knowledge of query languages such as SQL (structured query language).
- K6300 knowledge core Knowledge of how to utilize Hadoop, Java, Python, SQL, Hive, and PIG to explore data.
- K7029 knowledge core Knowledge of how to collect, store, and monitor data.
- K7031 knowledge core Knowledge of how to structure and display data.
- K7032 knowledge core Knowledge of how to use data to tell a story.
- S166 skill core Skill in conducting queries and developing algorithms to analyze data structures.
- S201 skill core Skill in generating queries and reports.
- S6570 skill core Skill in identifying hidden patterns or relationships.
- S6710 skill core Skill in using basic descriptive statistics and techniques (e.g., normality, model distribution, scatter plots).
- S6720 skill core Skill in using data analysis tools (e.g., Excel, STATA SAS, SPSS).
- K0942 knowledge additional Knowledge of the organization's core business/mission processes.
- K1034A knowledge additional Knowledge of Personally Identifiable Information (PII) data security standards.
- K1034C knowledge additional Knowledge of Personal Health Information (PHI) data security standards.
- K7020 knowledge additional Knowledge of DoD AI Ethical Principles (e.g., responsible, equitable, traceable, reliable, and governable).
- K7036 knowledge additional Knowledge of laws, regulations, and policies related to AI, data security/privacy, and use of publicly procured data for government.
- S6915A skill additional 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).