Rosie's People

Senior Data Analyst – AI, Cybersecurity

Rosie's People

part-time

Posted on:

Location Type: Remote

Location: Remote • 🇨🇦 Canada

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Job Level

Senior

Tech Stack

AirflowApacheAWSAzureCyber SecurityGoogle Cloud PlatformGrafanaNumpyPandasPythonScikit-LearnSQLTableau

About the role

  • Partner with our Software Engineering, AI/Data Science and Product teams to uncover insights from structured and unstructured datasets that shape product strategies and business initiatives.
  • Analyse and interpret multi-source data (user behaviour, cyber risk metrics, market trends, etc.) to identify commercial opportunities and enhance customer engagement.
  • Develop and maintain real-time dashboards, automated reports, and visual analytics using open-source tools (e.g., Plotly, Metabase, Superset, Grafana, Power BI, or Tableau Public).
  • Collaborate with engineers and data scientists to prepare and validate datasets for AI/ML models supporting cyber risk prediction and compliance analytics.
  • Design robust data models and analysis frameworks while ensuring alignment with data governance, privacy, and ethical AI standards (GDPR, DORA, ISO 27001).
  • Leverage AI-assisted analytics (e.g., LLM-based data summarisation, anomaly detection, NLP-driven business insight extraction) to accelerate data interpretation.
  • Translate technical findings into non-technical insights and actionable recommendations for business leaders, clients, and PR/marketing stakeholders.
  • Continuously evaluate open-source and AI-driven analytics tooling to improve data accessibility and visualisation across the organisation.

Requirements

  • 5+ years of experience in data analysis or business intelligence, ideally within cybersecurity, fintech, or regulatory technology.
  • Proven track record working with Python (Pandas, NumPy, Scikit-learn), SQL, and data visualisation libraries.
  • Experience with open-source BI tools and data analytics pipelines across AWS, Azure, or GCP ecosystems.
  • Strong proficiency in statistical modelling, data storytelling, and AI/ML integration for business insight generation.
  • Familiarity with data governance and privacy frameworks such as GDPR, SOC2, DORA, and CCPA.
  • Strong stakeholder communication skills with the ability to bridge technical complexity and business context.
  • Prior experience in a startup or high-growth environment, ideally interfacing with marketing, product, or commercial teams.
  • Bonus points for experience with LLM-based analytics tools, data automation (Apache Airflow, Prefect), or cyber risk intelligence analytics.
Benefits
  • Competitive equity-based compensation
  • Collaboration with a mission-driven, innovation-first team of AI, cybersecurity, and data professionals.
  • Opportunity to work at the intersection of AI ethics, analytics, and risk management innovation.
  • Flexible, remote-first working culture.
  • Access to advanced open-source AI tools and continuous learning opportunities.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisbusiness intelligencePythonSQLstatistical modellingdata storytellingAI/ML integrationdata automationdata visualisationdata governance
Soft skills
stakeholder communicationbridging technical complexitybusiness context understanding
Certifications
GDPRSOC2DORACCPAISO 27001