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How much do ellis jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for ellis in California is $20.63, according to ZipRecruiter salary data. Most workers in this role earn between $14.59 and $22.83 per hour, depending on experience, location, and employer.

What is an Ellis?

The term 'Ellis jobs' does not refer to a specific job title or occupation. It may be a company name, a person's name, or a reference to a particular context such as 'Ellis Island' in U.S. immigration history. If you are looking for employment opportunities at a company called Ellis or information about jobs related to Ellis Island, it is best to specify the context for accurate information.

What are the key skills and qualifications needed to thrive as an Ellis, and why are they important?

I'm sorry, but 'Ellis' is not recognized as a real-world professional occupation, so I cannot provide a relevant answer.

What is the difference between Ellis vs Data Analyst?

AspectEllisData Analyst
Required CredentialsTypically a degree in data science, statistics, or related fieldUsually a degree in statistics, mathematics, or computer science
Work EnvironmentData-driven projects, often in tech or finance sectorsAnalyzing data sets, creating reports, and visualizations
Industry UsageCommon in data-centric roles across various industriesWidely used in business, finance, healthcare, and marketing

Ellis and Data Analyst roles share similar educational backgrounds and work environments, focusing on data interpretation and analysis. While Ellis may be a specialized role within a specific company or industry, Data Analysts are more broadly recognized across multiple sectors. Both positions require strong analytical skills and familiarity with data tools, making them closely related in the data career pathway.

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Ellis jobs near you
Infographic showing various Ellis job openings in California as of August 2026, with employment types broken down into 2% As Needed, 65% Full Time, 29% Part Time, 1% Temporary, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $42,906 per year, or $20.6 per hour.

Legal Practice Technology Senior Analyst

Kirkland & Ellis LLP.

Los Angeles, CA • On-site

$94K - $125K/yr

Full-time

Medical, Retirement, PTO

Re-posted 15 hours ago

Job description

About Kirkland & Ellis
At Kirkland & Ellis, we don't just meet the standard for legal excellence - we set it. Our culture is built on teamwork, ingenuity and an unwavering commitment to continuous growth. We tackle the most sophisticated legal challenges with bold ideas and innovative solutions, powered by the exceptional experience and ambition of our 7,000+ people, including 4,000+ attorneys, across 24 offices worldwide. Our dedicated professionals share our lawyers' commitment to excellence and show up each day to do meaningful work that helps drive global business, investment and innovation forward.
What You'll Do
Are you energized by solving complex data challenges and delivering high-quality technical solutions that drive litigation success? As a Legal Practice Technology (LPT) Senior Analyst at Kirkland & Ellis, you'll play a critical role in supporting case teams through hands-on management of data, databases, document productions, and advanced litigation technology tools.
Working closely with LPT Project Managers and firm leadership, you'll help ensure the secure, efficient, and accurate handling of client data across all phases of discovery and litigation support. This role offers a chance to apply your expertise in eDiscovery tools, analytics, and process improvement within a fast-paced, collaborative environment that values precision, problem-solving, and innovation.
Based on firm need and individual interest, qualified Senior Analysts may eventually have an opportunity to transition into a Data Scientist role focused on data analysis and AI engineering for client engagements.
This position may occasionally require travel and after-hours support to meet client or project needs.
  • Data & Database Management: Process, convert, and manage electronically stored information (ESI) in accordance with case-specific requirements.
  • Technical Execution: Create, configure, and administer Relativity workspaces, Brainspace environments, and other eDiscovery applications.
  • Quality & Compliance: Conduct quality control checks on data processing and production deliverables to ensure accuracy, consistency, and compliance with project specifications.
  • Production Support: Generate custom load files, metadata, native files, and text files; ensure proper optical character recognition (OCR), redaction, and production formatting.
  • Troubleshooting & Support: Resolve complex data loading and application issues, providing timely, hands-on technical support to case teams.
  • Analytics & Reporting: Utilize analytics tools such as Relativity Analytics and Brainspace to support deduplication, email threading, privilege review, and predictive modeling.
  • Collaboration & Communication: Partner with Project Managers, Operations, and case teams to meet deadlines, manage deliverables, and maintain clear communication across offices.
  • Process Improvement: Contribute to documentation, training materials, and process refinement initiatives that advance departmental efficiency.
  • Training & Knowledge Sharing: Deliver training sessions for case teams and provide briefings to department leadership as requested.

What You'll Bring
  • Education: Bachelor's degree preferred; an associate degree combined with relevant experience will be considered.
  • Experience: Minimum of 6 years (preferred) in legal technology or eDiscovery support, ideally within an Am Law 100 firm or equivalent service provider.
  • Technical Expertise: At least 3 years of hands-on experience with leading eDiscovery platforms (e.g., Relativity, Reveal), including database setup, search design, and workflow configuration.
  • Production & Processing Skills: Strong knowledge of eDiscovery processing tools (Relativity, Nuix, LAW) and demonstrated experience in creating complex document productions.
  • Analytics Proficiency: Minimum of 1 year using analytics tools (e.g., Relativity Analytics, Brainspace, NexLP) for machine learning-based review and quality control.
  • Programming & Scripting: Working knowledge of SQL, Python, and scripting languages to convert and analyze data effectively.
  • Communication & Problem-Solving: Ability to convey technical concepts clearly, respond effectively to stakeholder needs, and identify solutions under tight timelines.
  • Project Management: Proven ability to manage multiple priorities simultaneously with a high degree of accuracy and professionalism.
  • Certifications: Relativity Certified Administrator (RCA) required; Brainspace Analyst Certification preferred.
  • Adaptability: A proactive, "can-do" mindset with the flexibility to handle changing priorities and evolving technologies.

Compensation
The base salary range below represents the low and high end of the salary range for this position in each of the below locations. This range may differ based on your geographic location and cost of living considerations. At Kirkland & Ellis, we consider compensation more than just a base salary. We offer an exceptional range of flexible benefits including comprehensive healthcare, paid time off, and retirement. We also offer personal support and tailored learning and development opportunities all designed to help you realize your full potential both in life and at work.
Compensation Range:
Chicago: $133,000 - $166,000
New York City: $133,000 - $183,000
Los Angeles: $133,000 - $183,000
Boston: $133,000 - $183,000
Washington D.C.: $133,000 - $183,000
How to Apply
Thank you for your interest in Kirkland & Ellis LLP. To complete an application and submit your resume, please click "Apply Now."
Don't meet every job requirement? That's okay! If you're excited about this role but your experience doesn't perfectly fit every qualification, we encourage you to apply anyway. You may be just the right person for this role or others at Kirkland.
Equal Employment Opportunity
All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee's race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. #LI-Hybrid #LI-LB1

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