Data Analytics Manager

Join to apply for the Data Analytics Manager role at Fox Rothschild
. This position is key to the Knowledge Management and Innovation team, supporting the delivery of data‑driven legal solutions to internal and external clients. The manager oversees the firm’s data visualization platforms, reporting tools, data portal, and advanced analytics environment, and provides hands‑on analysis and solutioning for projects.

• Data Strategy and Leadership
  • In conjunction with the Director of Data Analytics and Strategy, develop and execute the firm’s data analytics roadmap, aligning with strategic business objectives and client service standards.
  • Lead, mentor and grow a team of data analysts and specialists within the Knowledge Management and Innovation department; foster a culture of innovation, collaboration and continuous improvement.
  • Collaborate and partner with clients, attorneys, and other stakeholders to identify and deliver opportunities driven by data and quantitative analysis.
  • Partner with the firm’s functional departments to analyze data and develop solutions to support business operational objectives of the firm.
  • Surface and support concepts for client‑facing solutions that could be productized for the firm.
  • Communicate complex data concepts in clear, actionable terms to non‑technical audiences.
• Data Management and Analysis
  • Train and support end‑users in data literacy, dashboard usage and self‑service analytics.
  • Deliver regular and ad‑hoc reports, visualizations, and presentations to firm leadership, practice leaders and clients.
  • Identify trends, risks and opportunities to inform strategic planning, industry and client needs.
  • Collaborate with the firm’s Accounting, IT, and Pricing departments and other key stakeholders to create and implement data projects for the firm.
• Technical
  • Translate business requirements and unstructured business issues into data analytic problems and solutions.
  • Develop data preparation, sample design, identify appropriate analytic and statistical methodology, and document process and results.
  • Analyze and model structured data using advanced statistical methods, and implement software/algorithms to perform analysis.
  • Perform machine learning, natural language, and statistical analysis methods as appropriate, such as classification, collaborative filtering, association rules, sentiment analysis, topic‑modeling, time‑series analysis.
  • Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data, identify patterns and interpret results, and be able to explain to all levels of stakeholders.

• Other projects as assigned.

• Bachelor’s degree, preferably in a business or technical discipline.
• Juris Doctor or Master’s degree in data science, computer science, statistics, or engineering – preferred.

• 5+ years of experience in a law firm or legal operations environment.
• At least 2 years in a data analytics role (or similar).
• Preferred:
  Lean, Lean Six Sigma, PMP or similar certification or the ability to demonstrate comparable experience and training in project management or process improvement.

• Strong verbal communication abilities with the ability to explain and translate technical data analysis approaches and results to attorneys and business professionals.
• Ability to manage people and motivate them to accomplish their goals.
• Strong supervisory, organizational and project management skills and ability to prioritize and multi‑task with a high volume of work in a fast‑paced environment.
• Attention to detail and accuracy while maintaining confidentiality.
• Ability to develop collaborative relationships with a broad array of individuals and to explain and sell the needs of the Department/Practice.
• Competence in setting structure especially where none exists.
• Strong business analysis skills and the ability to analyze information and think systematically.
• Experience with enterprise data visualization tools (e.g., MS Power BI, Tableau) and data design best practices.
• Experience with advanced analytics and data science (e.g., statistical programming, machine learning, classification models,…