Analytics Developer II

Posted 8 Days Ago
Hiring Remotely in US
Remote
Mid level
Information Technology • Legal Tech • Software
The Role
As an Analytics Developer, you will create data models, reports, and dashboards to drive internal operations and client solutions. Your role involves leveraging tools like LookML and business intelligence software to provide insights and guide decisions while mentoring junior team members.
Summary Generated by Built In

Who We Are

The Pattern Data platform was created for the rapid analysis of thousands of medical records. Fueled by AI, our platform efficiently reviews and categorizes documents at a speed 10 times faster, significantly reducing validation time by highlighting pertinent information crucial for litigation in medical analysis and personal injury cases. Our platform has been successfully implemented in major national settlements to process, adjudicate, and value claims.

At Pattern, our team is built on a foundation of collaborative ownership, visionary problem-solving, customer-centric solutions, and authenticity. We’re looking for an Analytics Developer to join our growing team.

As an Analytics Developer at Pattern Data, you will play a pivotal role in creating sophisticated data models, reports and dashboards, that drive both internal operations and client-facing solutions. You’ll design scalable, impactful analytics, providing valuable insights for business needs and decision making. 

What You’ll Do

  • 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
  • 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 that are deployed as a 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
  • Collaborate cross-functionally with lens implementation, engineering, product, and business teams to understand requirements and deliver impactful analytics solutions

What You’ll Bring

  • A proven track record of developing visually stunning and informative data visualizations
  • Exceptional communication and collaboration skills, with the ability to translate complex data insights into actionable recommendations for both technical and non-technical stakeholders
  • Deep understanding of analytic product design principles and experience building reports and dashboards that effectively communicate insights
  • 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
  • 4 or more years of experience working with SQL data sources, including advanced query optimization techniques, preferably with PostgreSQL or Redshift
  • 2 or more years experience (or direct training/education) working with Python, Groovy and Java is a plus
  • Advanced proficiency in spreadsheet tooling i.e. Excel
  • Bachelor's or Master's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience and certifications
  • Strong leadership skills, with the ability to motivate and inspire a team towards achieving common goals

Ready to meet us?

Please apply directly through our website or Linkedin. We are excited to hear from you! 

Top Skills

Groovy
Java
Python
The Company
Charlotte, North Carolina
18 Employees
On-site Workplace

What We Do

Pattern Data is an A.I.-powered software platform that accelerates and streamlines the biggest bottleneck of mass tort process: medical record review. Pattern Data uses AI to analyze thousands of pages of medical records, identifies key evidence for validation, and automates the creation of various work products

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