Data Analyst
Platform ScienceSalary not specified
Full Time
Junior (1 to 2 years)
Not SpecifiedCompensation
N/AExperience Level
N/AJob Type
Not SpecifiedVisa
N/AIndustries
Requirements
- 3+ years of experience in a data-focused role serving a client services or operations team
- Expert Excel skills and demonstrable experience with SQL, Python, and Groovy
- Strong track record of troubleshooting and problem-solving, recommending and executing solutions
- Excellent communication skills, translating technical findings to non-technical stakeholders
- Detail-oriented, resourceful, and self-motivated
- Comfortable working independently and managing multiple priorities in a fast-paced environment
Responsibilities
- Ad Hoc Reporting & Analysis: Pull and analyze client-specific data from existing reports to provide insights and support internal teams
- Data Management & Mapping: Map, clean, and upload data for one-off requests from the Client Success team
- API Support: Work with clients to set-up API access and utilize the API to copy documents and data
- Technical Problem-Solving: Provide practical, data-driven solutions to technical or operational issues as they arise
- File Transfer Support: Facilitate and monitor file transfers from internal & external storage systems (SFTP, API, Vendors), providing status updates and troubleshooting issues
- Quality Assurance: Validate data and outputs after system updates or automated processes to ensure accuracy and completeness
- Process Documentation: Create and maintain clear documentation of internal workflows and client-facing data operations processes
- Continuous Improvement: Identify opportunities for backend and operational process enhancements to improve efficiency and data reliability
Skills
Pattern Data
AI platform for streamlining litigation processes
About Pattern Data
Pattern Data provides an AI-powered software platform aimed at improving the litigation process for law firms, especially those handling mass tort cases. The platform automates repetitive tasks like reviewing medical records and extensive documentation, enabling legal teams to gather evidence more efficiently and reduce case backlogs. It also offers features such as predicting case quality, conducting rapid case reviews, and automating settlement analysis. Unlike its competitors, Pattern Data focuses specifically on the needs of law firms, providing tools that enhance productivity and accuracy in case management. The goal of Pattern Data is to streamline legal operations, allowing firms to make informed strategic decisions based on comprehensive data analysis.
Charlotte, North CarolinaHeadquarters
2020Year Founded
$1.1MTotal Funding
SEEDCompany Stage
Enterprise Software, AI & Machine Learning, LegalIndustries
11-50Employees
Risks
Competitors like Luminance and Kira Systems are advancing their AI capabilities.
Data privacy regulations like CPRA may increase compliance costs for Pattern Data.
Law firms developing in-house AI solutions could reduce demand for Pattern Data.
Differentiation
Pattern Data uses AI to streamline personal injury claims processing.
The platform automates tedious tasks, improving efficiency for law firms.
Pattern Data offers predictive analytics to enhance case quality assessment.
Upsides
AI adoption in legal tech increased by 30% in 2023.
AI in legal tech is projected to grow at a 28% CAGR until 2028.
AI can reduce case processing time by up to 50%, boosting efficiency.
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