Note: The job is a remote job and is open to candidates in USA. Cognitive Security Institute is seeking a part-time, remote Data Analyst to support research and operational initiatives related to cognitive security. The role involves analyzing digital and behavioral data, developing models and dashboards, communicating insights, evaluating interventions, and contributing to publications and knowledge resources while ensuring data integrity and ethical handling.
Responsibilities
- Collecting, cleaning, and organizing data from diverse digital and behavioral sources
- Performing quantitative and qualitative analyses to identify patterns, risks, and emerging threats
- Building and maintaining data models, dashboards, and reports to communicate insights to researchers, leadership, and external partners
- Collaborate with cross-functional teams to design metrics, evaluate interventions, and inform strategy
- Documenting methodologies and ensuring data integrity and ethical handling
- Contributing to publications, presentations, and internal knowledge bases that translate complex findings into clear, actionable narratives
Skills
- Candidates should possess strong analytical skills and demonstrated ability to interpret complex, ambiguous data sets
- Candidates should possess data analytics capabilities, including data cleaning, exploratory analysis, and visualization using common tools and languages (e.g., Python, R, SQL, BI platforms)
- Candidates should possess statistics knowledge, such as hypothesis testing, regression, and basic experimental design relevant to behavioral and security-focused research
- Candidates should possess data modeling skills, including designing schemas, building predictive or descriptive models, and structuring data pipelines for research and reporting
- Candidates should possess communication skills to present findings clearly to technical and non-technical audiences, including concise written reports and structured presentations
- Familiarity with cybersecurity, behavioral science, or AI/ML concepts is beneficial
- Ability to work independently in a remote environment, manage multiple priorities, and collaborate effectively across time zones
- Bachelor's degree or equivalent experience in data science, statistics, computer science, psychology, cybersecurity, or a related field is preferred
Benefits
- Part-time, remote work arrangement
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