- Company Name
- Spektrum
- Job Title
- Business Data Analyst
- Job Description
-
**Job Title**
Business Data Analyst
**Role Summary**
Execute data‑management, engineering, and analytics activities for NATO Communications and Information Agency (NCIA) projects. Design and maintain data pipelines, integrity checks, and metadata structures to enable secure, searchable, and compliant use of enterprise data. Provide advisory support on data transformation, modelling, and business intelligence to enhance decision‑making for NATO command and control, cyber security, and information systems initiatives.
**Expectations**
- Demonstrate strong analytical skills and problem‑solving ability in complex, ambiguous environments.
- Communicate findings and recommendations clearly to technical and non‑technical stakeholders.
- Deliver timely, accurate solutions while adhering to industry standards and data‑privacy regulations.
- Collaborate with cross‑functional teams (engineering, operations, governance) and contribute to continuous improvement of data processes.
**Key Responsibilities**
- Devise and implement master data management processes for designated data domains.
- Assess data integrity from multiple sources; recommend validation, cleansing, and transformation actions.
- Design, code, verify, test, and document scripts/programs (Python, SQL, Shell, etc.) to manage and transform data.
- Build and maintain data pipelines across data stores, applications, and organizations.
- Model and design data structures, selecting appropriate techniques and levels of detail.
- Apply data‑science methods (statistical analysis, machine learning) to evaluate analytics models.
- Advise on effectiveness of analytical techniques and support deployment of data‑science solutions.
- Provide business intelligence reporting and analysis for management or governance processes.
- Monitor progress, report status, identify issues, and propose practical solutions.
- Contribute to the development, evaluation, monitoring, and deployment of enterprise‑wide data solutions.
**Required Skills**
- Strong programming in Python and SQL; experience with data‑engineering tools (Airflow, Databricks, Spark).
- Proficiency in data modelling and metadata management.
- Knowledge of cybersecurity and defense information‑systems standards (NATO, ISO/IEC 27001).
- Familiarity with data‑science techniques (regression, classification, clustering, NLP).
- Ability to work collaboratively in a multidisciplinary, high‑security environment.
- Excellent documentation, testing, and version‑control practices (Git).
**Required Education & Certifications**
- Bachelor’s (or higher) in Computer Science, Data Science, Information Systems, or related field.
- Certifications preferred: Certified Data Management Professional (CDMP), Microsoft Certified: Azure Data Engineer Associate, or equivalent (e.g., AWS Certified Data Analytics, SnowPro).
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