Cyber Data Analyst

Thank you for your interest in Fortress Information Security! We look forward to reviewing your submission!

Position: Cyber Data Analyst

Location: Orlando HQ - Remote, FL

Job : 713

# of Openings: 1

Fortress is building a pipeline of qualified candidates for an upcoming Cyber Data Analyst opening. While this role is not immediately open, we expect to fill it soon and want to connect with strong candidates now so we can move quickly when it does. Thank you for your understanding!

Cyber Data Analyst

Location: Remote

Compensation
: $55,271- $62,808 per year, depending on experience and qualifications.

Employment Type
:
Full-Time

What you can expect as the Cyber Data Analyst at Fortress...

The Cyber Data Analyst owns the analytics, reporting, and data-integrity layer of a vulnerability management program, transforming raw scan, asset, and remediation data into trusted metrics that leadership and client stakeholders rely on to understand program performance and risk posture. This role pairs hands‑on data analysis and modeling with deliberate use of approved AI‑assisted tooling to detect and resolve data‑quality defects at a scale that manual review cannot reach.

It is a build‑oriented position where new metrics, algorithms, and dashboards originate, are iterated rapidly with stakeholders, and are transitioned to operating teams once stable. It is a compelling opportunity for an analytically minded professional who wants to shape how a security program measures itself, rather than simply execute against existing measures.

Responsibilities Include:

• Own the recurring monthly data‑quality reporting cycle: identify, quantify, and trend data‑integrity defects across vulnerability, asset, product, and remediation records; report volume, aging, root cause, and downstream operational impact to program leadership on a fixed cadence.
• Design, test, and refine AI‑assisted workflows, including prompt libraries, structured extraction patterns, and batch review routines, to detect, classify, and correct data‑quality defects at scale, maintaining human review and documented validation of all AI‑generated output.
• Maintain and version the prompt, script, and workflow library supporting AI‑assisted data remediation so that methods are reproducible, auditable, and transferable to other analysts and other client programs.
• Perform the monthly reconciliation between the business intelligence reporting layer and authoritative scan data from the enterprise vulnerability scanning platform; investigate and resolve record‑level variances before publication and document the reconciliation result.
• Research and confirm vulnerability and asset ownership following report publication: resolve unassigned, stale, or mis‑assigned owners against configuration management and organizational data sources, coordinate corrections with the responsible operating teams, and certify ownership accuracy for the reporting period.
• Scope, build, and deliver net‑new reporting and ad hoc analytical research at the request of program and client leadership, clarifying the underlying question, identifying available and missing data, and stating the confidence and limitations of the result.
• Design and build new metrics, scoring algorithms, and dashboards from scratch, defining the measure, sourcing and modeling the data, validating against known cases, and iterating with stakeholders until the output is trusted and stable.
• Transition mature analytics products to the owning operational team once rapid iteration has ended: document the data sources, logic, refresh process, and failure modes; train the receiving team; and provide defined post‑transition support.
• Partner with operations teams across the vulnerability lifecycle, including…