Data Analyst

5-7 Years

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Early Applicant

Job Description

Responsibilities

Clean, process, and analyze datasets generated from cybersecurity operations, AI models, or system logs.
Conduct exploratory data analysis (EDA) to uncover hidden trends, correlations, and risk indicators.
Collaborate with Data Engineers to validate model performance and identify opportunities for refinement.
Develop visual dashboards and analytical reports for technical and business stakeholders.
Identify data anomalies or irregularities that could indicate potential threats or system issues.
Perform statistical analysis and interpret machine learning outputs into business-relevant insights.
Support research initiatives by preparing structured datasets for experiments or model validation.
Ensure data accuracy and consistency across all analytics and reporting platforms.
Translate complex technical findings through data storytelling, visualizations, and executive summaries into actionable business recommendations.
Collaborate with Data Engineers to ensure access to reliable, structured, and updated data.
Contribute to continuous improvement of data quality, analysis methods, and reporting standards.

Requirements

Bachelor's or Master's degree in Data Science, Statistics, Cybersecurity, or related fields.
Minimum 5 years in data analytics, preferably in cybersecurity or technology-driven industries.
Proficient in SQL (PostgreSQL, MySQL, or SQLite) and Python (Pandas, NumPy, Matplotlib, pandasql). and BI tools (Power BI, Tableau, Looker).
Familiarity with data querying from large-scale storage (BigQuery, Elasticsearch).
Experience with security telemetry data (SIEM logs, endpoint telemetry, network flows).
Strong statistical and data modeling knowledge.
Understanding of AI/ML workflows, model evaluation, and metrics interpretation.
Strong communication skills, especially in translating technical insights for non-technical stakeholders.
High attention to detail and critical thinking.
Proven collaboration experience with engineers, researchers, and product teams.
Leadership in analytical storytelling and data-driven decision advocacy