Note: The job is a remote job and is open to candidates in USA. Applicantz is a leading global supplier of wafer fabrication equipment and services to the semiconductor industry. They are seeking an eDiscovery Data Analyst to support legal data workflows across the full eDiscovery lifecycle, working closely with legal, compliance, and investigations teams to manage, analyze, and prepare data for internal investigations, litigation, and regulatory matters.

Responsibilities

• Support legal holds and preservation workflows across Microsoft 365 and other enterprise systems
• Assist with internal investigations, litigation, and regulatory matters by identifying, collecting, and preparing data
• Process and manipulate large datasets for eDiscovery, including filtering, deduplication, and data normalization
• Perform search term analysis and inclusive data segregation
• Support analytics workflows, including content grouping, clustering, and review prioritization
• Prepare data for attorney review, including workspace setup, batching, and reporting
• Support document review and production workflows, ensuring defensible and repeatable processes
• Generate metrics and reporting related to data volumes, processing results, and review status
• Collaborate with legal, IT, and compliance stakeholders to refine data strategies and workflows

Skills

• 1–3 years of professional experience in Relativity or Microsoft Purview experience
• Strong ability to work with large datasets and understand how data is structured
• Experience analyzing, filtering, and preparing data for downstream use
• Comfort working in legal or regulated environments
• Ability to explain data findings clearly to non‑technical audiences
• Strong attention to detail and process discipline
• Ability to manage multiple data requests and investigations at the same time
• Willingness to learn and adapt to new tools and workflows
• 1-3 years of experience level in eDiscovery or legal data workflows
• Experience supporting investigations, litigation, or compliance matters
• Background in data analysis, data science, analytics, or information governance

Company Overview

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