Pattern Data

Analytics Developer II

United States

Not SpecifiedCompensation
Junior (1 to 2 years)Experience Level
Full TimeJob Type
UnknownVisa
Legal Tech, Data & Analytics, Legal ServicesIndustries

Requirements

Candidates should possess a Bachelor’s or Master’s degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience and certifications. They must have 4 or more years of hands-on experience with business intelligence tools such as Tableau, PowerBI, Looker, Qlik, or Quicksight, with a focus on advanced analytics and dashboard development, and 4 or more years of experience working with SQL data sources, including advanced query optimization techniques, preferably with PostgreSQL or Redshift. Experience with Python, Groovy, and Java is a plus.

Responsibilities

As an Analytics Developer, you will leverage Pattern’s calculation tools to classify claimants and employ valuation criteria, including settlement allocation guidelines, to determine the values assigned to each claimant and dockets. You will develop sophisticated data models using LookML to enable complex analytics and reporting, create internal reports and dashboards that guide Pattern’s internal operations and decisions, build embedded, client-facing reports and dashboards deployed as part of the Pattern platform, design and implement scalable solutions for internal and client-facing reports and dashboards, ensuring they provide valuable insights and meet performance requirements, mentor junior team members, providing guidance on best practices, data analysis techniques, and tool usage, and collaborate cross-functionally with lens implementation, engineering, product, and business teams to understand requirements and deliver impactful analytics solutions.

Skills

LookML
Data Modeling
Dashboard Development
Report Automation
Data Analysis
Cross-Functional Collaboration
Mentoring

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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