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Data Analytics Manager

Job in Sarasota, Sarasota County, Florida, 34243, USA
Listing for: Fox Rothschild
Full Time position
Listed on 2025-10-19
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Overview

Join to apply for the Data Analytics Manager role at Fox Rothschild
. As a key member of the Knowledge Management and Innovation team, the manager supports the delivery of data‑driven legal solutions and analysis to internal and external clients. Responsibilities include overseeing the Firm’s data visualization platforms, reporting tools, data portal, and advanced analytics environment, while supporting project workflows and providing hands‑on analysis and solutioning when applicable.

Responsibilities
  • Data Strategy and Leadership
    • Develop and execute the firm’s data analytics roadmap with the Director of Data Analytics and Strategy.
    • Lead, mentor, and grow a team of data analysts and specialists, fostering a culture of innovation, collaboration, and continuous improvement.
    • Collaborate with clients, attorneys, and 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 supporting business operational objectives.
    • 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 Accounting, IT, Pricing, and other 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, and appropriate analytic and statistical methodology, documenting process and results.
    • Analyze and model structured data using advanced statistical methods, implementing software/algorithms to perform analysis.
    • Perform machine learning, natural language, and statistical analysis methods such as classification, collaborative filtering, association rules, sentiment analysis, topic modeling, and time‑series analysis.
    • Perform explanatory data analysis, generate and test working hypotheses, prepare and analyze historical data, and interpret results, explaining to all stakeholder levels.
  • Additional Functions
    • Other projects as assigned.
Education
  • 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.
Experience
  • 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 comparable project management or process improvement experience.
Knowledge, Skills & Abilities
  • Strong verbal communication skills with the ability to explain 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 with the ability to prioritize and multi‑task in a fast‑paced environment.
  • Ability to work with detailed information accurately and efficiently while maintaining confidentiality.
  • Ability to develop collaborative relationships with a broad array of individuals and explain/sell the needs of the Department/Practice.
  • Competence in setting structure where none exists.
  • Strong business analysis skills with 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; understanding of user interface and user experience design.
  • Experience with advanced analytics and data science (e.g., statistical programming, machine learning, classification models, natural language processing).
Work Environment & Physical Demands

This job operates in a clerical, office setting. The role routinely uses standard office equipment such as…

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