Analytics Developer II

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 innovation, integrity, and collaboration—values that consistently deliver excellence to our clients. We’re looking for an Analytics Developer to join our growing team.

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, GroovyPostgres, Redshift, Elasticsearch, Apache AirflowLooker

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.

What You’ll Do

Utilize Pattern’s calculation tools to classify claimants and employ valuation criteria, including settlement allocation guidelines, to determine the values assigned to each claimant and docketsUse LookML to build data models Write queries in PostgreSQL and RedshiftBuild internal reports and dashboards that guide Pattern’s internal operations and decisionsBuild embedded, client facing reports and dashboards that are deployed as a part of the Pattern platformLead the entire analytic life cycle, from data retrieval and wrangling to advanced analysis and visualizationDrive innovation within Pattern’s data warehouse, optimizing queries and processes to handle petabytes of structured and unstructured dataDevelop sophisticated data models using LookML to enable complex analytics and reportingDesign and implement scalable solutions for internal and client-facing reports and dashboards, ensuring they provide valuable insights and meet performance requirementsMentor junior team members, providing guidance on best practices, data analysis techniques, and tool usageCollaborate cross-functionally with engineering, product management, and business teams to understand requirements and deliver impactful analytics solutions

You are:

Passionate about leveraging data to drive business outcomes and uncover new opportunities.Enthusiastic about using data to solve problems and discover new informationExcited to make beautiful data visualizations that effectively communicate informationCurious and consistently keeping up with new tech and industry trends, evaluating emerging tools, and suggesting techniques to boost Pattern Data's analyticsA good listener, ready to absorb domain knowledge in order to make the most of the data available to you

What You’ll Have

A proven track record of developing visually stunning and informative data visualizationsExceptional communication and collaboration skills, with the ability to translate complex data insights into actionable recommendations for both technical and non-technical stakeholdersDeep understanding of analytic product design principles and experience building reports and dashboards that effectively communicate insights4 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 development4 or more years of experience working with SQL data sources, including advanced query optimization techniques, preferably with PostgreSQL or Redshift2 or more years experience (or direct training/education) working with Python, Groovy and Java is a plusAdvanced proficiency in spreadsheet tooling i.e. ExcelBachelor's or Master's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience and certificationsStrong leadership skills, with the ability to motivate and inspire a team towards achieving common goals

Key Skills

• Data Science