As an Analytics Developer, you will create data models, reports, and dashboards, leveraging tools to derive insights and mentor junior staff.
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
Excel
Groovy
Java
Looker
Lookml
Postgres
Power BI
Python
Qlik
Quicksight
Redshift
SQL
Tableau
Similar Jobs
Healthtech • Software
As an Analytics Engineer II, you will build ETL processes, ensure data quality, and collaborate with cross-functional teams to support healthcare analytics needs.
Top Skills:
AWSDbtPysparkPythonSparkSQL
Healthtech • Insurance • Other • Sales • Software
The Analytics Engineer II will design and maintain ELT data pipelines, automate data processes, ensure data quality, and mentor junior engineers, collaborating across teams to drive actionable insights.
Top Skills:
BigQueryDataformDbtGCPHexMetabasePower BIPythonSQLTableau
Beauty • Cloud • Fintech • Marketing Tech • Payments • Productivity • Software
As a Senior Data Engineer, you will design, build, and maintain analytics platforms, establish data models, and support cross-functional teams to leverage data for business growth.
Top Skills:
Cube.DevDbtElixirFivetranJavaPythonScalaSnowflakeSQL
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
