Data Solutions Analyst

Pattern Data

$80K — $110K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 1+ years of experience with SQL and data sources
  • Familiarity with Python or similar scripting for data validation
  • Bachelor's degree in Economics, Data Science, Computer Science, or related field
  • Strong analytical and problem-solving skills
  • Excellent communication skills for technical and non-technical audiences
  • Exceptional attention to detail and client-first mindset
  • Comfort managing multiple competing priorities

Responsibilities

  • Become the go-to resource for settlement eligibility criteria and claims data
  • Respond promptly to client and internal requests related to settlements
  • Translate client inquiries into clear answers using settlement data
  • Write and run SQL/Python scripts to validate data
  • Perform quality checks on data discrepancies and troubleshoot
  • Document frequent questions and solutions for institutional knowledge
  • Collaborate with cross-functional teams on settlement-specific data issues

Benefits

  • Comprehensive benefits package
  • Performance-based incentives
  • Flexible work environment
  • Opportunity for cross-functional collaboration
  • Commitment to pay equity and transparency
Full Job Description
What You'll Do

As a Data Solutions Analyst at Pattern Data, you will specialize in settlement support, becoming a trusted resource on the facets of each settlement program. You'll partner with clients and internal teams to solve data questions, build long term solutions, and validate outputs to ensure accuracy across every settlement you support. At Pattern, you will be responsible for the following:
  • Be available and responsive to client and internal requests across settlement programs
  • Become an expert on the eligibility criteria, claims data, and valuation methodology specific to each settlement to provide informed, accurate guidance and data solutions
  • Provide client and internal support on Pattern's API capabilities
  • Provide data support, translating client questions into clear, accurate answers using settlement data and platform tooling
  • Write and run simple scripts and queries (SQL, Python, or similar) to validate claimant data, calculations, and outputs
  • Perform quality checks and troubleshoot data discrepancies flagged by clients or internal teams
  • Document recurring questions and solutions to build institutional knowledge across the our settlement programs
  • Collaborate cross-functionally with litigation management, engineering, and product teams to resolve settlement-specific data issues

What You'll Bring
  • Strong analytical and problem-solving skills, with the ability to quickly learn the details of multiple settlement programs and translating them into data solutions
  • Excellent communication skills, with the ability to explain technical concepts and data findings clearly to both technical and non-technical stakeholders
  • Comfort managing multiple, sometimes competing priorities across concurrent projects
  • 1 or more years of experience working with SQL data sources, with comfort writing and debugging queries
  • Familiarity with Python or a similar scripting language for data validation and automation
  • Exceptional attention to detail and a client-first mindset, with a willingness to serve as a flexible, on-call resource across programs
  • Advanced proficiency in spreadsheet tooling i.e. Excel
  • Bachelor's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience
  • Willingness to travel or be available outside standard business hours as settlement deadlines require
  • Experience in the legal industry is a plus

Pay Transparency Disclosure

The estimated base salary range for this role is $80,000-$110,000 per year, plus commission and benefits.

At Pattern Data, our compensation philosophy is built around fairness, transparency, and market alignment. Base salary represents just one part of our total compensation package, which also includes performance-based incentives, comprehensive benefits, and other rewards.

Final compensation will be determined based on several factors, including skills, experience, qualifications, geographical location and internal equity across the team.

We understand that exceptional candidates bring unique backgrounds and strengths. If the scope of the role changes during the hiring process, we'll update and communicate any adjusted range accordingly.

Pattern Data is committed to pay equity and to maintaining competitive, transparent compensation practices across all roles and teams.

Ready to meet us?

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

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