Analytics Developer

Charlotte, NC
Full Time
Entry Level

At Pattern Data, we're building an intelligence platform that uses AI to accelerate and improve the accuracy of discovering and evaluating personal injury and mass tort cases. Along the way, we've created one of the world's largest repositories of health records for individuals in liability cases. We partner with the largest law firms in the US to transform how they understand and create new, actionable insights from vast amounts of unstructured inputs and raw information.

We transform terabytes of unstructured data into real-time, indexed medical and legal knowledge bases. Our document processing pipeline is the industry’s fastest and uses Scala on AWS. We accomplish this at scale using the following core stack of technologies:

  • Scala, Python
  • Postgres, Redshift, Elasticsearch
  • Looker, Tableau

The Role

As a Analytics Developer at Pattern Data, you will be involved in the entire analytic life cycle, from retrieval, wrangling, aggregation, and visualization. You’ll operate heavily within Pattern’s data warehouse, writing queries against terabytes of structured and unstructured information. You’ll synthesize this information into cohesive and clear reports to be used both internally within the organization, but also as embedded products within the platform. At Pattern, you will:

  • Use LookML to build data models 
  • Write queries in PostgreSQL and Redshift
  • Build 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

You are: 

  • Enthusiastic about using data to solve problems and discover new information
  • Excited to make beautiful data visualizations that effectively communicate information
  • A good listener, ready to absorb domain knowledge in order to make the most of the data available to you

You have: 

  • A strong understanding of what makes analytic products effective, and how to make reports and dashboards that are both insightful and easy to understand
  • 2 or more years experience (or direct training/education) working with business intelligence tools like Tableau, PowerBI, Looker, Qlik, Quicksight, etc.
  • 2 or more years experience (or direct training/education) working with SQL data sources, preferably PostgreSQL or Redshift
  • Bachelors degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent certifications

Note: Successful candidates will be asked to undergo a background check


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