Remote Data Analyst at Harbor Litigation Solutions
, , United States -
Full Time


Start Date

Immediate

Expiry Date

20 May, 26

Salary

100000.0

Posted On

19 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Litigation Support, Data Transformation, Quality Control, Workflow Optimization, Reporting, SQL, Excel, Data Tracking, Data Extraction, Data Normalization, Pattern Identification, Documentation, Cross-functional Collaboration, AI-Assisted Review

Industry

Legal Services

Description
Position Overview Harbor is seeking a Remote Data Analyst to support litigation teams and internal operations by transforming complex datasets into actionable insights. This role blends structured data analysis, quality control, workflow optimization, and client-facing reporting. The ideal candidate is highly analytical, detail-oriented, comfortable working with large datasets, and experienced in environments where accuracy and defensibility matter. Key Responsibilities Analyze structured and semi-structured datasets related to litigation and investigations Build reports and dashboards for internal leadership and client deliverables Perform quality control audits on document review outputs and production sets Assist with search term testing, validation, and performance metrics Create and maintain data tracking systems for case progress, responsiveness rates, and workflow efficiency Support AI-assisted document review workflows with structured outputs Extract and normalize data from platforms such as Relativity or similar systems Identify patterns, anomalies, and defensibility risks within datasets Document methodologies clearly to ensure repeatability and auditability Collaborate cross-functionally with operations, client services, and leadership About Harbor Harbor Litigation Solutions LLC is a boutique litigation support and legal technology consulting firm serving law firms and corporate legal departments nationwide. We specialize in data-driven litigation workflows, eDiscovery, forensic data management, AI-assisted review, and platform integrations including Relativity and custom analytics environments. We are a remote-first company that values accountability, clarity, responsiveness, and precision. Our team thrives on solving complex data challenges for high-stakes legal matters. Required Qualifications 3+ years of experience in data analysis, business intelligence, or litigation support Advanced Excel skills (pivot tables, formulas, data validation, etc.) Experience with SQL or other querying languages Experience working with large datasets (100k+ records) Strong written communication skills Ability to explain complex findings clearly to non-technical stakeholders Experience working remotely and managing time independently Preferred Qualifications Experience in eDiscovery or litigation support Familiarity with Relativity or other review platforms Experience with Power BI, Tableau, or similar dashboard tools Experience working with legal teams or corporate legal departments Understanding of structured coding workflows and review analytics Exposure to AI/LLM-assisted workflows What Success Looks Like Accurate, defensible reporting delivered on time Clear documentation of analysis methodology Identification of workflow improvements Data-driven insights that improve review efficiency and reduce client costs Strong internal and client trust in analytical outputs Compensation & Benefits Competitive salary (commensurate with experience $50k-$100k) Performance-based bonuses Flexible schedule Opportunity for long-term growth within a scaling legal technology firm Work Environment & Culture Fully remote team High autonomy, high accountability Fast-paced legal technology environment Opportunity to shape AI-driven workflows in litigation
Responsibilities
The Data Analyst will support litigation teams by analyzing complex structured and semi-structured datasets to generate actionable insights, reports, and dashboards for internal leadership and clients. Key duties include performing quality control audits, assisting with search term validation, creating data tracking systems, and supporting AI-assisted review workflows.
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