Senior Data Integration Analyst

Spektrum supports apex purchasers (NATO, UN, EU and National Government and Defence) and their Tier 1 supplier ecosystem with a wide range of specialist services. We provide our clients with professional services, specialised aerospace and defence sales, delivery, and operational subject matter expertise. We are looking for personnel to join our team and support key client projects.

Who we are supporting

Allied Command Transformation (ACT) is NATO’s leading agent for change: driving, facilitating, and advocating the continuous improvement of Alliance capabilities to maintain and enhance the military relevance and effectiveness of the Alliance. The main objectives of ACT are: providing appropriate support to NATO missions and operations; leading NATO military transformation; and improving relationships, interaction and practical cooperation with partners, nations and international organisations. ACT therefore leads Alliance concept development, capability development, training and lessons-learned initiatives and provides unfettered military support to policy development within NATO.

The program

Capability Development & Management Support (CDMS)

DCOS Capability Development (CAPDEV) acts as the Supreme Allied Commander Transformation's Director for guidance, direction and coordination of the activities and resources of the Capability Development Directorate.

The Requirements Division will execute all tasks and activities needed to support requirements management for NATO capabilities

The Capability Requirements (CR) Branch will develop the Capability Requirements Brief and recommended courses of action to resolve issues through the life cycle management of requirements using matrixed, cross-functional project-specific Requirements Management teams.

The Requirements Forward Branch (Mons) is responsible for conducting requirements development and management representation and engagement-related functions in Europe.

The Capability Division coordinates the development of capabilities from capability planning through acceptance and then disposal with management entities, NATO Headquarters staff and the NATO Governance Structure

The Capability Forward Branch (Mons) coordinates with ACO, NCIA, NSPA, NATO HQ, territorial Host Nations, and NATO Centres of Excellence (COEs) to support the development of capabilities.

Strategic Plans and Policy (SPP) supports Allied Command Transformation in formalizing military advice to shape future military strategy, political guidance, and other policy documents supporting NATO’s strategic objectives.

Role ID: ACT-CDMS-27-01-A-LC07

Role and Duties

Provide hands-on data integration, engineering, data collection modernization, analytics, and decision-support support to the Enabling Capabilities Portfolio, with an initial emphasis on Infrastructure Programmes. This is a hands-on delivery role. The contractor is expected to personally design, configure, develop, test, document, and improve working data and analytical solutions in direct collaboration with operational users. The requirement is not primarily for strategic advisory, enterprise architecture, programme management, or supervision of development performed by others. The objective is to transform fragmented programme information and manual data operations into structured, trusted, reusable information that improves programme and portfolio decision making and delivery.

Taskings:

Support the Enabling Capabilities Portfolio, with an initial emphasis on Infrastructure Programmes, through hands-on data integration, data engineering, analytics, and decisionsupport activities.

Work directly with programme managers, portfolio staff, analysts, data owners, and other stakeholders to understand priority decisions, information requirements, existing data sources, data gaps, and opportunities to improve programme delivery through better use of data.

Design, develop, test, and maintain repeatable data integration processes that ingest, transform, reconcile, and prepare information from multiple programme and enterprise sources for operational use and analysis

Develop and maintain structured data models, common definitions, business rules, reference data, and data-quality controls required to produce trusted programme and portfolio-level information.

Design, prototype, configure, and improve digital data-collection applications and workflows that replace or materially reduce spreadsheet-intensive, manually consolidated, emaildriven, or otherwise fragmented data operations.

Support the continued development, maturation, and operational use of digital Management and Oversight Review (MOR) data collection and decision-support solutions for Infrastructure Programmes and other Enabling Capabilities Portfolio requirements.

Develop dashboards, metrics, visualizations, analytical products, and other decision-support solutions that improve visibility of programme status, delivery performance, schedule, resources, risks, dependencies, and emerging issues.

Apply descriptive and diagnostic analytical techniques, and predictive or prescriptive techniques when directed and appropriate to the decision requirement, to identify trends, relationships, anomalies, risks, and opportunities relevant to programme or portfolio management.

Integrate programme and portfolio information with authoritative NATO or enterprise data sources through approved mechanisms including relational databases, APIs, data services, structured file exchange, or other available interfaces.

Identify data-quality, ownership, lineage, governance, stewardship, and authoritative-source issues affecting delivered solutions and implement or recommend practical remediation measures in coordination with responsible stakeholders.

Use appropriate development and engineering practices, including source or configuration control, documented transformations and business rules, reproducible processing, configuration management, and separation of development and operational artifacts where supported by the technical environment.

Document data sources, data models, transformations, business rules, analytical logic, dependencies, assumptions, operating procedures, and solution configuration sufficiently to support transparency, auditability, reuse, sustainment, and transition.

Conduct user testing and iteratively improve solutions based on operational use, stakeholder feedback, data-quality findings, and changes to programme or portfolio information requirements.

Establish appropriate baselines and assess the effect of delivered solutions on factors such as data quality, timeliness, manual processing effort, information availability, workflow efficiency, and usefulness to decision makers.

Present analytical findings, assumptions, limitations, risks, and decision implications to programme managers, portfolio leadership, and other stakeholders.

Support transition of successful prototypes, pilots, data products, and analytical solutions to enduring enterprise platforms, production-support organizations, or designated scaling teams, including preparation of sufficient technical and operational documentation to enable another appropriately qualified individual or team to sustain the solution.

Perform additional tasks as required by the COTR that are directly related to this labour category and do not constitute a materially different labour requirement.

Essential Qualifications

Education or Relevant Professional Experience : A University/bachelor’s degree in data science, Computer Science, Information Systems, Engineering, Operations Research, Statistics, Applied Mathematics, or a closely related field; or a minimum of five years of directly relevant professional experience in lieu of the degree. Directly relevant professional experience shall include work in at least two of the following areas: data integration or data engineering; analytical programming; business intelligence,