Mass Tort Data Analyst (Lien Resolution)
Zipliens, Somerset, KY, United States
Overview
Zipliens is a leading lien resolution company that specializes in streamlining the lien process for personal injury law firms. We are looking for proactive, results-driven individuals to join our dynamic team. We are seeking a detail-oriented and results-driven Mass Tort Data Analyst to help drive our data processes forward. You will serve as a key contributor across active client projects, partnering with internal and external teams to deliver actionable insights and robust data solutions that support our Mass Tort operations, with a strong emphasis on lien resolution workflows. This role requires prior experience in the personal injury, mass tort, or lien resolution space. The ideal candidate brings strong analytical skills, a track record of owning data workflows, and a passion for improving systems at scale.
Responsibilities
Obtain, validate, and organize large client data sets for use within the Zipliens platform
Maintain high standards of accuracy, timeliness, and efficiency across all data deliverables
Manage recurring data exchanges with external agencies (e.g., Medicare, LRP vendors, Medicaid), ensuring accuracy and timeliness
Deliver customized reporting solutions and visualizations to meet internal and external needs
Work with client data teams to improve onboarding and file delivery processes
Identify inefficiencies in recurring workflows, lead optimization initiatives, and document processes and standards to support internal consistency and knowledge sharing
Partner with developers to define requirements and support tool development in the Zipliens portal
Provide department leadership with metrics, KPIs, and data-driven recommendations
Communicate data challenges and solutions clearly and succinctly across teams
Qualifications
Prior experience in the personal injury, mass tort, or lien processing industry is required
4+ years of experience in data analysis, operations, or reporting
Advanced proficiency in Excel; exposure to SQL or BI tools (e.g., Tableau, Power BI) is a plus
Strong problem-solving abilities with a thoughtful approach to downstream impacts
Comfortable balancing multiple projects and working autonomously in a fast-paced environment
Excellent written and verbal communication skills
Professionalism, self-sufficiency, and readiness for remote work
Bachelor's degree in a technical or analytical field (preferred)
Benefits
Comprehensive Health Benefits (Medical, Dental, and Vision), including HSA with employer contributions, FSA, and Dependent Care FSA
Company-Paid Life Insurance and Short-Term Disability
401(k) Plan with Company Match
Paid Time Off (Vacation, Sick Leave, and Select Holidays)
Parental Leave
Pay Disclosure: The total base salary range for this role is $64,000 - $86,000 annually, with opportunity for a discretionary bonus. Final compensation will be determined based on skills and experience.
Work Authorization: Applicants must be authorized to work in the United States without the need for employer-sponsored visa support now or in the future.
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Zipliens is a leading lien resolution company that specializes in streamlining the lien process for personal injury law firms. We are looking for proactive, results-driven individuals to join our dynamic team. We are seeking a detail-oriented and results-driven Mass Tort Data Analyst to help drive our data processes forward. You will serve as a key contributor across active client projects, partnering with internal and external teams to deliver actionable insights and robust data solutions that support our Mass Tort operations, with a strong emphasis on lien resolution workflows. This role requires prior experience in the personal injury, mass tort, or lien resolution space. The ideal candidate brings strong analytical skills, a track record of owning data workflows, and a passion for improving systems at scale.
Responsibilities
Obtain, validate, and organize large client data sets for use within the Zipliens platform
Maintain high standards of accuracy, timeliness, and efficiency across all data deliverables
Manage recurring data exchanges with external agencies (e.g., Medicare, LRP vendors, Medicaid), ensuring accuracy and timeliness
Deliver customized reporting solutions and visualizations to meet internal and external needs
Work with client data teams to improve onboarding and file delivery processes
Identify inefficiencies in recurring workflows, lead optimization initiatives, and document processes and standards to support internal consistency and knowledge sharing
Partner with developers to define requirements and support tool development in the Zipliens portal
Provide department leadership with metrics, KPIs, and data-driven recommendations
Communicate data challenges and solutions clearly and succinctly across teams
Qualifications
Prior experience in the personal injury, mass tort, or lien processing industry is required
4+ years of experience in data analysis, operations, or reporting
Advanced proficiency in Excel; exposure to SQL or BI tools (e.g., Tableau, Power BI) is a plus
Strong problem-solving abilities with a thoughtful approach to downstream impacts
Comfortable balancing multiple projects and working autonomously in a fast-paced environment
Excellent written and verbal communication skills
Professionalism, self-sufficiency, and readiness for remote work
Bachelor's degree in a technical or analytical field (preferred)
Benefits
Comprehensive Health Benefits (Medical, Dental, and Vision), including HSA with employer contributions, FSA, and Dependent Care FSA
Company-Paid Life Insurance and Short-Term Disability
401(k) Plan with Company Match
Paid Time Off (Vacation, Sick Leave, and Select Holidays)
Parental Leave
Pay Disclosure: The total base salary range for this role is $64,000 - $86,000 annually, with opportunity for a discretionary bonus. Final compensation will be determined based on skills and experience.
Work Authorization: Applicants must be authorized to work in the United States without the need for employer-sponsored visa support now or in the future.
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