Legal Data Analyst
Description
- Analyzes legal data, identifies patterns, and extracts meaningful conclusions to support legal strategies and decision-making
- Assists Associates or Shareholders in researching and preparing for cases, using data to create legal strategies
- Gathers and reviews court documents, legal papers, and other relevant data sources
- Collaborates with stakeholders to identify needs and maintains effective data collection processes
- Responds to user inquiries and requests related to legal data analysis
- Develops and implements databases and data collection systems to optimize data accuracy and quality
- Ensures data privacy and compliance with legal regulations and best practices
- Monitors and assesses trends and patterns in legal data, providing regular reports and updates to stakeholders
- Designs and builds data models to interpret patterns and trends in court cases and legal information
- Tracks changes to legal data and assess the impact on reporting and analysis
- Ensures data accuracy, consistency, and integrity by conducting quality checks and collaborating with relevant teams
- Collaborates effectively with cross-functional teams and stakeholders to deliver high-quality results
- Performs additional duties as required
- High attention to detail, outstanding organizational skills and the ability to manage time effectively
- Ability to successfully adapt to changing priorities and work demands
- Position also requires the ability to work under pressure to meet strict deadlines, effectively prioritize multiple tasks
- Recognize confidential, sensitive, and proprietary information and maintain such information as confidential
- Strong problem-solving skills, takes initiative and uses good judgment, excellent follow-up skills
- Demonstrated knowledge of laws and regulations that impact legal analysis
- Bachelor's or Master’s degree in Data Science, Data Analytics, Computer Science, Information Systems, or a related field (equivalent work experience may be considered)
- Minimum 5 years of experience where knowledge of Excel and Power BI is integral to the role
- Experience working with or in a law firm preferred
- Computer proficiency in Windows-based software and Microsoft Office Suite applications including Word, PowerPoint, Excel and Outlook including writing complicated formulas to support data analysis needs requiring Excel only
- Knowledge of Azure Open AI and cognitive services a plus
Greenberg Traurig is an Equal Opportunity Employer and committed to diversity and inclusion in the workplace. Individuals seeking employment at Greenberg Traurig are considered without regards to race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, disability, veteran status, or genetic information, among other protected bases.
Exemplifying our commitment to promoting inclusion and equity across our platform, the firm participates in the Mansfield Rule Certification Program (Mansfield). Mansfield, which is facilitated by The Diversity Lab, focuses on equal opportunity, fairness, and inclusivity. The Mansfield requirements are anchored in the consideration of expanded talent pools considered for select positions and open roles within the law firm and the implementation of and access to transparent processes. Utilizing the Mansfield framework, the firm’s progress and outcomes are measured and documented through Mansfield Certification Plus Metrics. In 2023, GT achieved Mansfield 6.0 Certification Plus. We are excited about our ongoing participation in Mansfield given the program’s alignment with the firm’s commitment to opportunities for advancement that are inclusive for everyone. Providing your data during the application process helps us with achieving our goals and with meeting reporting/record-keeping obligations under federal and state law and other legal requirements. Providing your data is entirely voluntary and will not be considered in the hiring process or thereafter. Any information that you do provide will be treated confidentially.