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Job Description

Full-time Data Analyst role focused on analysis, dashboards, and data-driven support for complex legal and business questions.

Responsibilities

  • Collect, clean, integrate, analyze, and validate large and complex datasets from multiple sources.
  • Use SQL and Python to query, transform, reconcile, and analyze data.
  • Create repeatable analytical workflows to support ongoing reporting and investigations.
  • Design and build Power BI dashboards, reports, and data visualizations to communicate key findings, trends, and metrics.
  • Collaborate with attorneys and the data analytics team to translate legal, business, and operational questions into analytical approaches.
  • Develop analytical methodologies and models to evaluate exposure, damages, trends, patterns, and other litigation-relevant issues.
  • Investigate data anomalies, identify gaps or limitations, and reconcile discrepancies across datasets.
  • Analyze employment-related data, including timekeeping, payroll, HRIS, scheduling, and related operational systems for employment matters.
  • Support analyses related to class certification, damages, sampling, pay practices, timekeeping practices, and other litigation issues as needed.
  • Develop clear, defensible approaches for working with incomplete, inconsistent, or complex datasets, including documenting assumptions, processes, and findings.
  • Find opportunities to improve, automate, and standardize existing analytical and reporting processes.
  • Produce clear written summaries, presentations, dashboards, and deliverables that support attorney and client decision-making.
  • Manage analytical work across multiple matters, balancing deadlines and priorities while applying independent judgment on approach and execution.

Requirements

  • Bachelor’s degree in a quantitative or analytical discipline (data analytics, data science, statistics, economics, computer science, mathematics, or similar).
  • 3+ years of relevant experience.
  • Strong proficiency in SQL and Python, including using both to manipulate, analyze, and validate complex datasets.
  • Strong proficiency with Power BI or comparable BI and visualization tools; Power BI experience strongly preferred.
  • Experience working with relational databases and combining information from multiple data sources.
  • Ability to work independently with large, complex, incomplete, or imperfect datasets and determine appropriate approaches for data limitations.
  • Strong analytical and problem-solving skills, including converting open-ended questions into structured, defensible analytical approaches.
  • Ability to identify patterns, anomalies, inconsistencies, and other meaningful findings in complex datasets.
  • Familiarity with AI and generative AI, including thoughtful incorporation into analytical and workflow automation while evaluating outputs for accuracy and reliability.
  • Strong written and verbal communication skills, including explaining technical findings to non-technical audiences.
  • Excellent organizational and project-management skills to manage multiple projects, deadlines, and shifting priorities.
  • Professionalism, discretion, initiative, and independent judgment, especially with confidential or sensitive information.

Technologies

  • SQL
  • Python
  • Power BI
  • AI
  • Generative AI

Benefits

  • Competitive salary (USD 75,000 - 95,000 per year)
  • Year-end bonus
  • 401(k) with employer contributions
  • Medical, dental, and vision insurance
  • Paid time off
  • Referral bonus program

Preferred Prior Experience

  • Prior experience in a law firm, litigation support, consulting, or other professional-services environment is preferred but not required.
  • Familiarity with employment data or wage and hour concepts (payroll, timekeeping, overtime, meal/rest periods, regular rate, rounding, and related issues) is helpful but not required.

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