Pattern Data Logo

Pattern Data

Analytics Developer II

Reposted 14 Days Ago
Remote
Hiring Remotely in US
50K-90K
Mid level
Remote
Hiring Remotely in US
50K-90K
Mid level
The Analytics Developer will create data models, reports, and dashboards for internal and client use, collaborating with teams and mentoring junior members.
The summary above was generated by AI

Who We Are

Pattern Data is an AI-powered platform purpose-built for the unique complexities of mass tort litigation, settlement analytics, and claims processing. We automate critical processes like case analysis, documentation, and valuation, leading to faster, more accurate outcomes that dynamically adapt to evolving settlement criteria. Our platform replaces manual inefficiencies with data-driven decision-making, empowering firms to scale operations, reduce costs, and secure stronger results in higher-volume litigations. 

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 serve as a strategic partner across business, legal, and product teams. You don’t just respond to data requests — you define the questions that need to be asked, identify the underlying data required, and build the tools and insights to answer them. You’ll apply strong business logic and process management skills to curate, analyze, and present data that drives informed decision-making.

What You’ll Do

  • Transform, clean, and interpret complex data using SQL, Python, and Excel to create clear, actionable insights that drive informed decisions.
  • Build and maintain LookML models, dashboards, reconciliations, and progress trackers to support day-to-day operations and long-term reporting needs.
  • Define business requirements and translate high-level or ambiguous questions into structured, data-driven problem statements in collaboration with legal, product, operations, and leadership teams.
  • Develop end-to-end analytics solutions, including scoping data sources, building pipelines, and designing outputs that align with operational context.
  • Prepare detailed reports and presentations with data visualizations to summarize findings and provide recommendations to a range of stakeholders.
  • Guide analytics projects through the full lifecycle—from concept to delivery—ensuring deliverables meet quality standards and timelines.
  • Support project communications and deliverable management by tracking progress, reporting status, and coordinating with cross-functional teams.
  • Identify and analyze risks, recommend mitigation strategies, and drive process improvements to increase efficiency and reliability.
  • Lead or support business-critical analyses, including award determinations, duplicate detection, client reporting, and audit compliance.
  • Conduct root cause investigations on data discrepancies, proactively flag issues, and develop standardized processes to reduce manual effort over time.

What You’ll Bring

  • Bachelor’s degree in a quantitative or analytical field (e.g., Mathematics, Economics, Accounting, Finance)
  • 3–5 years of experience in data analytics, business operations, or strategy, ideally in a tech or legal environment
  • Strong business intuition and a track record of turning data into action
  • Proficiency in SQL, Python, and Excel
  • Hands-on experience with Looker (LookML) or similar BI tools
  • Strong analytical skills, business intuition, and a track record of turning data into actionable insights
  • Proven ability to own, manage and deliver projects end-to-end in fast-paced, cross-functional teams
  • Excellent communication skills with the ability to simplify complex data for diverse audiences
  • Passion for data storytelling and the ability to influence decisions through insight-driven recommendations
  • Familiarity with AI and machine learning concepts is a plus

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

4 Days Ago
Easy Apply
Remote
US
Easy Apply
150K-150K Annually
Mid level
150K-150K Annually
Mid level
Healthtech • Information Technology • Social Impact • Software • App development
As a Senior Analytics Engineer, you will build data pipelines, develop reporting tools, and enhance analytics infrastructure while collaborating with stakeholders and engineering teams.
Top Skills: BashDbtGitSnowflakeSQL
21 Days Ago
Remote
United States
150K-200K
Senior level
150K-200K
Senior level
Greentech • Energy
The Senior Analytics Engineer will create organized data sets, model raw data, and implement engineering best practices in a collaborative environment.
Top Skills: ArgoDbtPrefectPythonSnowflakeSQL
7 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
133K-199K
Senior level
133K-199K
Senior level
eCommerce • Healthtech • Kids + Family • Retail • Social Media
As a Senior Analytics Engineer, you'll develop scalable data models, collaborate with teams, and enhance data standards to support business decisions.
Top Skills: AirflowDbtPythonSigmaSnowflakeSQL

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account