Keller Postman

Keller Postman

Litigation Operations Analyst

Washington, District of Columbia, United States · Exec

Sponsorship not specified$95k-$115kDetected 22 days ago
SQLAzureDevOpsSalesforcePostmanCommunicationOrganizational Skills

About the role

  • We have recovered billions of dollars in litigation against some of the most sophisticated actors in the world.
  • Our firm accordingly comprises not only world-class lawyers but also distinctive developers, data scientists, designers, communications professionals, and analysts.

Nice to have

  • Bachelor's degree from a top-tier university.
  • 1 year of experience at a top-tier consulting firm is preferred.
  • 2+ years of experience in an analytical role.

Skills

  • A structured, analytical, and curious intellect with quantitative instincts and an understanding of basic statistical concepts.
  • Excellent organizational skills and attention to detail.
  • Excellent oral and written communication skills.
  • Strong time-management skills with a proven ability to meet deadlines and adapt to changing priorities.
  • Comfort and experience working in a fast-paced, demanding environment.
  • Proficiency (which is more than familiarity) with Microsoft Excel.
  • Experience with SQL or related query languages and platforms preferred.
  • Keller Postman delivers justice at scale.
  • Our work combines the intellectual rigor of legal practice with the innovation, pace, and scale of a tech startup.
  • Understand, analyze, and report on large, dispersed data sets.
  • Assist with external vendors hired to execute client-communication and other tasks.
  • Other duties as assigned.

Compensation

  • for this position, depending on experience, is an annual salary of $95,000 to $115,000 per year, plus benefits and a discretionary bonus.

Benefits

  • Compensation for this position, depending on experience, is an annual salary of $95,000 to $115,000 per year, plus benefits and a discretionary bonus.

This listing is sourced directly from Keller Postman's careers page and normalized into a canonical job model.