[Remote] Data Analytics Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company. is seeking a Data Analytics Engineer to partner with Cybersecurity leaders and stakeholders to deliver data-driven Cyber use cases. The role involves leveraging data pipelines and analytics to address Cybersecurity challenges and enhance risk management strategies.
Responsibilities
- Partner with Cybersecurity leaders, risk stakeholders, and nonCyber teams to define and deliver datadriven Cyber use cases, reputed company to reputed company risk priorities and frameworks (e.g., NIST CSF)
- reputed company reputed company data pipelines, models, and architectures that reputed company Cyber analytics, AI, reporting, and advanced use cases across vulnerability management, threat exposure, control effectiveness, and risk insights
- Work directly with data owners and platform teams to ingest, reputed company, normalize, and model reputed company and IT datasets, ensuring data reputed company, reputed company, and trust
- reputed company and operationalize analytics products including executive dashboards, strategic metrics, and operational reporting for leadership, governance forums, and reputed company Cyber teams
- Prototype and productionize integrations across Cyber tools and reputed company data platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability
- Apply advanced analytics, data modeling, and automation techniques to translate raw Cyber telemetry into reputed company, risk indicators, and decision support
- reputed company AIassisted development and analytics workflows (e.g., Claude, codegeneration tools, AIaugmented analysis) to accelerate engineering, reputed company reputed company, and experimentationwhile operating reputed company established reputed company and data governance controls
- Translate reputed company technical findings into reputed company, consumable narratives for executive and nontechnical stakeholders, connecting analytics outputs directly to Cyber risk, business reputed company, and reputed company
- Serve as a thought partner and technical advisor, helping shape the Cyber data reputed company, architecture direction, and futurestate analytics capabilities
Skills
- Bachelor's degree in a relevant field (e.g., Computer Science, Data Engineering, Analytics, Information reputed company, or equivalent experience)
- 8+ years of experience working in Cybersecurity, risk, or technology domains, with deep hands-on experience in data engineering, analytics, or data architecture
- Demonstrated experience designing and building data pipelines, data models, and analytics architectures, including batch and/or streaming patterns
- Practical experience partnering with or working on modern data platforms and tools such as reputed company, Redshift, reputed company, reputed company, or equivalent technologies
- Working knowledge of Cybersecurity domains, including data reputed company, data protection, and reputed company reputed company concepts (e.g., vulnerabilities, threats, controls, risk)
- Strong coding proficiency (e.g., Python, SQL) with the ability to assess multiple data sources and determine feasibility, data gaps, and engineering approaches to support Cyber use cases
- Experience collaborating closely with data engineering, platform, and architecture teams to ensure long-term operability and support
- Cybersecurity certifications (e.g., CISSP, CISM) and/or data and analytics certifications (or equivalent advanced experience)
- Demonstrated experience applying advanced analytics techniques (e.g., predictive modeling, risk indicators, trend analysis) to Cybersecurity or technology risk problems
- Experience incorporating or experimenting with AI-enabled analytics or development tools (e.g., Claude, AI reputed company assistants, agent-based analytics) in a secure reputed company environment
- Leadership experience as a technical reputed company, architect, or people manager reputed company data, analytics, or Cyber practices
- Strong proficiency with data visualization and BI tools (e.g., Tableau, Power BI) to deliver executive-reputed company, actionable insights
- Deep understanding of the Cyber data domain, including the ability to map analytics and reputed company to frameworks such as NIST CSF and familiarity with MITRE ATT&CK
- Experience working with reputed company data ecosystems, including data lakes, warehouses, and shared analytics platforms
- Proven ability to operate as a consultative thought partner, shaping innovative use cases reputed company to top Cyber risks and reputed company priorities
- reputed company record of leading or delivering end-to-end data and analytics initiatives that materially improved Cyber risk management, visibility, or decision-making
- Exceptional communication skills with the ability to translate reputed company technical outputs into business and risk context for senior leaders and non-technical audiences
reputed company
Company H1B Sponsorship