Staff Data Analyst, SOC/Support
HuntressFull Time
Expert & Leadership (9+ years)
Key technologies and capabilities for this role
Common questions about this position
The annual pay range is based on the preferred primary location of the role, which is listed above. If applying from a different location, the salary range will vary and may fall outside of what is listed. Base pay offered may vary depending on job-related knowledge, skills, and experience.
This is a hybrid enterprise environment.
Required skills include 1–3 years of experience in cybersecurity (preferably SOC, IR, or audit), hands-on experience with SIEM and XDR platforms, familiarity with threat detection methodologies and MITRE ATT&CK framework, strong analytical and problem-solving skills, excellent communication skills, and ability to work in a fast-paced, collaborative environment.
The role is in a fast-paced, collaborative, hybrid enterprise environment where you'll work with IT, infrastructure, and security engineering teams.
Strong candidates have 1-3 years of cybersecurity experience, hands-on SIEM/XDR skills, and preferences for a Bachelor’s degree, relevant certifications like Security+ or GCIH, scripting experience, and cloud exposure.
Financial close management solutions for enterprises
Numeric.io provides financial close management solutions designed to streamline the month-end close process for large enterprises. The platform integrates features for closing, reconciling, and analyzing financial data, enhancing collaboration and control over financial processes. It automates complex tasks to ensure financial controls are maintained, helping companies remain audit-ready. Numeric.io operates on a Software-as-a-Service (SaaS) model, where clients subscribe for access to its features, allowing for continuous updates and support. This approach enables Numeric.io to cater to both mid-sized and large corporations with tailored solutions for their financial close needs. The company's goal is to transform how businesses manage their financial close processes, making them faster, more accurate, and efficient.