Data Analyst Engineer in Support of ACT Architectural Coherence
Posted on :
04-11-2023
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1 Vacancy
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Job Description
Data Analyst / Engineer in Support of ACT Architectural Coherence
- Working Location: Norfolk, VA, USA
- Security Clearance: NATO Secret
- Language: High proficiency level in English language
EXPERIENCE AND EDUCATION:
Essential Qualifications/Experience:
A University Degree in a relevant engineering, management, information systems, accounting, economics, finance, business administration, public administration, operations research, project management or related discipline. Professional experience in data analytics / engineering of min. 5 years will be accepted in lieu of degree in a relevant field
Demonstrable recent experience (at least 5 years in the last 10) in complex data analysis and processing. List most relevant projects supported, analytical artefacts produced, or data engineering tasks performed
Demonstrable recent hands-on experience (at least 3 years in the last 10) in using modern software architecture and software development related to data science, analytics and data integration, e.g. Python, SQL, KNIME, Pentaho or similar and familiarity in working with semi-structured data (XML, JSON) and APIs. List most relevant projects supported (no more than 3), tools/languages used and nature of the source data (e.g. relational, free text, JSON/XML)
Demonstrable recent hands-on experience (at least 3 years in the last 10) in designing and implementing data warehouse and data lake solutions. Knowledge of different data modelling paradigms, e.g. relational, dimensional, triple store (semantic Wikis), NoSQL. List most relevant projects supported (no more than 3), tools used and data modelling paradigm used
Effective story telling via data, Experienced data storyteller . Provide most relevant examples (no more than 3) together with the type of audience, data story presented and presentation goals and outcomes
Demonstrable recent hands-on experience (at least 2 years in the last 5) with data presentation and visualisation tools, e.g. Microsoft Power BI, Tableau, Kibana, or similar using high quality graphs and reports, charts, heats maps and interactive dashboards. List most relevant projects supported (no more than 3), types of visualisations, and tools used
DUTIES/ROLE:
Gather and analyze data related to enterprise architecture and capability architectures: This includes data on capabilities, processes, data flows, requirements, programme portfolio
Create architectural dashboards and heat maps. Use data to visualize the architecture maturity, architectural links and gaps between initiatives, requirements fulfilment, status of programmes and projects, and identify potential risks and bottlenecks
Use data to create architectural roadmaps for capability development, identify the capabilities to support future initiatives and NATO Digital Transformation
Collaborate with enterprise architects and capability architects to develop and implement data-driven architecture strategies. Work closely with the architects to understand their needs and deliver actionable insights
Integrate data sources relevant for the enterprise architecture (capability architectures, taxonomies, requirements, programme and project information)
Develop, construct, test and maintain data pipelines and data processing tools such as databases, data warehouses and ETLs
Transform data into formats that can be easily analyzed by developing, maintaining, and testing infrastructures for data generation
Configure, integrate and maintain data integration and analytics tools and shared repositories (e.g. PowerBI, KNIME, SQL Server and other DBMS , SharePoint)
Improve data quality and efficiency
Support evaluation of capability requirements and objectives and their delivery status
Perform additional tasks as required by the COTR related to the labor category
Demonstrable recent experience (at least 5 years in the last 10) in complex data analysis and processing. List most relevant projects supported, analytical artefacts produced, or data engineering tasks performed
Demonstrable recent hands-on experience (at least 3 years in the last 10) in using modern software architecture and software development related to data science, analytics and data integration, e.g. Python, SQL, KNIME, Pentaho or similar and familiarity in working with semi-structured data (XML, JSON) and APIs. List most relevant projects supported (no more than 3), tools/languages used and nature of the source data (e.g. relational, free text, JSON/XML)
Demonstrable recent hands-on experience (at least 3 years in the last 10) in designing and implementing data warehouse and data lake solutions. Knowledge of different data modelling paradigms, e.g. relational, dimensional, triple store (semantic Wikis), NoSQL. List most relevant projects supported (no more than 3), tools used and data modelling paradigm used
Effective story telling via data, Experienced data storyteller . Provide most relevant examples (no more than 3) together with the type of audience, data story presented and presentation goals and outcomes
Demonstrable recent hands-on experience (at least 2 years in the last 5) with data presentation and visualisation tools, e.g. Microsoft Power BI, Tableau, Kibana, or similar using high quality graphs and reports, charts, heats maps and interactive dashboards. List most relevant projects supported (no more than 3), types of visualisations, and tools used
DUTIES/ROLE:
Gather and analyze data related to enterprise architecture and capability architectures: This includes data on capabilities, processes, data flows, requirements, programme portfolio
Create architectural dashboards and heat maps. Use data to visualize the architecture maturity, architectural links and gaps between initiatives, requirements fulfilment, status of programmes and projects, and identify potential risks and bottlenecks
Use data to create architectural roadmaps for capability development, identify the capabilities to support future initiatives and NATO Digital Transformation
Collaborate with enterprise architects and capability architects to develop and implement data-driven architecture strategies. Work closely with the architects to understand their needs and deliver actionable insights
Integrate data sources relevant for the enterprise architecture (capability architectures, taxonomies, requirements, programme and project information)
Develop, construct, test and maintain data pipelines and data processing tools such as databases, data warehouses and ETLs
Transform data into formats that can be easily analyzed by developing, maintaining, and testing infrastructures for data generation
Configure, integrate and maintain data integration and analytics tools and shared repositories (e.g. PowerBI, KNIME, SQL Server and other DBMS , SharePoint)
Improve data quality and efficiency
Support evaluation of capability requirements and objectives and their delivery status
Perform additional tasks as required by the COTR related to the labor category
Employment Type
Full Time
Key Skills
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