Description review

Cyber Project Associate

Contact Government Services · United States · back to the listing

HR standards

59/100

needs work

Title ↔ description

53/100

needs work

Reads as

Data Analyst

81% confident

What this role officially is

data analyst — ESCO, the EU occupation classification

Data analysts import, inspect, clean, transform, validate, model, or interpret collections of data with regard to the business goals of the company. They ensure that the data sources and repositories provide consistent and reliable data. Data analysts use different algorithms and IT tools as demanded by the situation and the current data. They might prepare reports in the form of visualisations such as graphs, charts, and dashboards.

Also known as: data warehousing analyst, data analysts, data warehouse analyst, data storage analyst

How others title the same work

Large employers

  • Operations Insights, Tax Stripe

Startups

  • Senior Data Analyst Camber
  • Senior Data Analyst Confido

What the listing never says

  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Project Associate, Cyber Breach

Location: Remote

Start date: Negotiable

This role supports breach response operations involving compromised datasets, identification of impacted individuals, and preparation of notification deliverables. The position is remote and includes participation in an on-call rotation.

The qualified candidate should have administrative experience with Relativity (other eDiscovery platforms are also helpful). We take a consultative approach in working with our clients and managing cases and an understanding of the Incident Response lifecycle is important for all members of the team.

This position includes working with a variety of internal & external team members including Operation/Technical team members, Project Managers, Business Development team, attorneys, company or government representatives, and other legal staff.

Duties of the position

Perform contact discovery and breach analysis in on-call and standard work settings

Coordinate the intake, processing, and analysis of datasets for hosting

Extract, classify, and validate sensitive data, including PII and PHI

Build notification lists and support regulatory and client-facing reporting

Conduct and maintain consistent quality control and documentation across all deliverables, including analysis and remediation files

Collaborate with project managers and technical teams to meet deadlines

Assist with procedure development and continuous process improvement

Adhere to standard operating procedures and chain of custody requirements

Provide ongoing consultation to case teams for incident response related document review, data mining workflows

Proactively communicate ongoing project status and guidance to clients, partners, and internal teams

Participate in an on-call rotation as needed, including nights and weekends

Complete additional duties assigned by management as needed

Experience and Qualifications

Undergraduate degree or equivalent practical experience in a relevant field

3+ years' experience handling data operations or reviews in legal technology, cyber, or eDiscovery

Comfort working with structured and unstructured data

Ability to communicate effectively & tactfully both verbally and in written format to all relevant technical & non- technical stakeholders including attorneys, client support staff, and internal team members

Knowledge with breach response concepts, PII and PHI handling, and eDiscovery workflows including evolution of product offerings and changing dynamics/expectations

Proficiency with Windows operating systems and the Office product suite

Ability to demonstrate superior organizational skills with an acute attention to detail

Ability to work effectively under pressure in time-sensitive situations and prioritize multiple projects with similar deadlines, with occasional extended hours

The following skills are preferred but not required

Understanding of the electronic discovery reference model (EDRM)

Relativity experience or similar review platforms

Experience with OCR, data validation, and dataset normalization

Relativity Certified Administrator certification

Familiarity with scripting, data manipulation, or reporting tools

Originally posted on Himalayas

How this was produced

Highlights are found by rule, not by a model: each one is a phrase matched at a known position, and every note is a template we wrote. The two scores come from a typed-decision model (Jev) that reads the listing against the official role definition and real listings for the same role, and returns probabilities rather than prose — it never writes any of the words on this page, and never chooses what to highlight.

Deterministic penalty applied to the HR score: 12 points (from 71 before penalties). Reviewed 21 Sep 2026.