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Legal Data Analyst Jobs in Utah (NOW HIRING)

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... Role Overview The Principal Data Analyst will play a key role in executing Filevine's data and ...

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... Role Overview The Principal Data Analyst will play a key role in executing Filevine's data and ...

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and ...

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... Role Overview The Manager of Data Analytics will play a key role in executing Filevine's data and ...

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work ... Role Overview The Principal Data Analyst will play a key role in executing Filevine's data and ...

... data that our machine learning systems extract from published legal materials. This role is ideal for law students who enjoy close reading of judicial opinions and legal analysis, and who are curious ...

... data that our machine learning systems extract from published legal materials. This role is ideal for law students who enjoy close reading of judicial opinions and legal analysis, and who are curious ...

... data that our machine learning systems extract from published legal materials. This role is ideal for law students who enjoy close reading of judicial opinions and legal analysis, and who are curious ...

Working closely with senior investment professionals, consultants, legal counsel, and external ... Develop independent investment perspectives through research, data analysis, and assessment of ...

Our Manager, Legal Operations & Compliance will be the backbone behind how Nearmap's legal function ... Data-driven approach, using analytics and reporting to unlock team capacity and inform decision ...

Our Manager, Legal Operations & Compliance will be the backbone behind how Nearmap's legal function ... Data-driven approach, using analytics and reporting to unlock team capacity and inform decision ...

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Legal Data Analyst information

See Utah salary details

$16

$32

$53

How much do legal data analyst jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for legal data analyst in Utah is $32.99, according to ZipRecruiter salary data. Most workers in this role earn between $26.25 and $38.08 per hour, depending on experience, location, and employer.

What is a legal data analyst?

A Legal Data Analyst is responsible for analyzing legal data, case law, contracts, and regulatory information to identify patterns, insights, and trends. They use data analytics tools and legal research techniques to support law firms, corporate legal teams, or government agencies in decision-making. Their work helps improve legal strategies, compliance, and risk management. Strong analytical skills, attention to detail, and familiarity with legal databases are essential for this role.

What are the typical daily responsibilities of a legal data analyst?

Legal Data Analysts are responsible for collecting, organizing, and analyzing large datasets related to legal cases, contracts, compliance, or regulatory matters. On a daily basis, you might extract data from legal documents, create reports and visualizations to support litigation or risk assessments, and collaborate closely with attorneys and paralegals to interpret findings. You may also help automate repetitive data tasks or develop dashboards for ongoing legal projects. This work requires both independent problem-solving and strong teamwork as you support legal strategies with data-driven insights.

What are the key skills and qualifications needed to thrive in the legal data analyst position, and why are they important?

To thrive as a Legal Data Analyst, you need strong analytical abilities, knowledge of legal terminology, and expertise in data analysis, typically supported by a degree in law, data science, or a related field. Familiarity with legal research databases (like Westlaw or LexisNexis), data visualization tools (such as Tableau or Power BI), and proficiency in programming languages such as SQL or Python is highly beneficial. Excellent attention to detail, effective communication skills, and the ability to work collaboratively are vital soft skills. These competencies are essential for accurately interpreting complex legal data, supporting attorneys, and ensuring the integrity of analytical reports.

What do legal data analysts do?

Legal data analysts examine and interpret large sets of legal data to identify patterns, trends, and insights that support legal decision-making. They often use data analysis tools, such as Excel or specialized software, and work closely with legal teams to improve case strategies, compliance, and risk management.
Infographic showing various Legal Data Analyst job openings in Utah as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $68,620 per year, or $33 per hour.

Principal Data Analyst

Filevine

Salt Lake City, UT • On-site

Full-time

Medical, Dental, Vision

Posted 16 days ago


Job description

Filevine is a Legal AI company delivering Legal Operating Intelligence for the future of legal work. Grounded in a singular system of truth, Filevine brings together data, documents, workflows, and teams into one unified platform-where modern legal work happens with clarity and consistency.
 
Powered by LOIS, the Legal Operating Intelligence System, Filevine connects context across every matter to transform legal operations from reactive to proactive. LOIS reads, understands, and reasons across your data to surface insight, automate complexity, and give professionals the clarity and confidence to see more, know more, and do more. Fueled by a team of exceptional collaborators and innovators, Filevine's rapid growth has earned AI awards and recognition from Deloitte and Inc. as one of the most innovative and fastest-growing technology companies in the country.

Role Overview

The Principal Data Analyst will play a key role in executing Filevine's data and analytics initiatives. Reporting directly to executive leadership, this individual will manage daily analytics operations, deliver corporate metrics, and produce actionable insights to support operational excellence and strategic decision-making across the organization. This position requires a balance of strong technical proficiency, business acumen, and solid communication skills.

The ideal candidate will be a hands-on analytical practitioner who can design and deliver high-quality analyses while engaging confidently with executive stakeholders.

Responsibilities:
  • Work closely with the CEO on ad-hoc or other impromptu projects, providing rapid analytical support and insights.

  • Lead daily operations for the corporate analytics function, overseeing the development and delivery of executive-level dashboards, KPIs, and routine reporting.

  • Partner with functional leaders to identify and interpret key trends across product usage, customer health, financial performance, and organizational initiatives.

  • Conduct complex analyses that inform strategic priorities and operational decisions.

  • Build and maintain robust data pipelines and models within Domo, integrating data from Salesforce, Snowflake, HubSpot, the Filevine Platform, and other enterprise systems.

  • Ensure data integrity, consistency, and precision across all reporting outputs.

  • Implement frameworks for tracking key SaaS metrics and KPIs, including ARR, GRR, NRR, churn, customer engagement, and retention.

  • Communicate findings clearly to both technical and non-technical audiences, translating complex data into actionable business insights.

  • Partner cross-functionally with Finance, Operations, Product, and Customer Success teams to align analytics outputs with organizational goals.

Qualifications:
  • Bachelor's degree in Data Analytics, Statistics, Business, Economics, or a related field.

  • 4-6+ years of experience in data analytics or business intelligence, with experience leading ad-hoc projects.

  • Demonstrated ability to guide projects and support team development.

  • Expertise in SQL and hands-on experience working with large, complex data environments.

  • Strong proficiency with Domo or equivalent BI tools (e.g., Tableau, Power BI, Looker).

  • Solid understanding of Salesforce data structures and data integration practices.

  • Familiarity with SaaS business models and key financial metrics.

  • Strong communication skills with the ability to effectively present insights to senior stakeholders.

  • High attention to detail, with a commitment to accuracy, data governance, and analytical rigor.

Work Location Expectation: This position is based out of our San Francisco, Chicago, Salt Lake City or New York offices. Candidates residing in or near these metro areas are expected to work on a hybrid (2-3 days in-office/week) or fully onsite basis.
 
 
Cool Company Benefits:
- A dynamic, rapidly growing company, focused on helping organizations thrive 
- Medical, Dental, & Vision Insurance (for full-time employees)
- Competitive & Fair Pay
- Maternity & paternity leave (for full-time employees)
- Short & long-term disability
- Opportunity to learn from a dedicated leadership team
- Top-of-the-line company swag
 
Privacy Policy Notice
Filevine will handle your personal information according to what's outlined in our Privacy Policy.
 
Communication about this opportunity, or any open role at Filevine, will only come from representatives with email addresses using "filevine.com". Other addresses reaching out are not affiliated with Filevine and should not be responded to.
 
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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