Data Analyst

CEO LAWYER

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

Visit company website
AI Apply
Apply

Job Level

Mid-LevelSenior

Tech Stack

PythonSQL

About the role

  • Develop a deep understanding of the firm’s operations, departments, and technology stack.
  • Design, build, and maintain advanced Power BI dashboards and reports tailored to various departments (e.g., legal, marketing, HR, finance).
  • Manage Power BI Service: publish reports, configure data gateways, manage workspace permissions, and schedule data refreshes.
  • Integrate and transform data from multiple sources, including: Legal and CRM platforms: Filevine, LeadDocket, HubSpot Microsoft 365 tools: Excel, SharePoint, Teams, OneDrive HR and productivity tools: BambooHR, ActiveTrack.
  • Conduct in-depth data analysis to support strategic decisions by attorneys, directors, and executive leadership.
  • Automate reporting processes and build scalable, reusable data models.
  • Monitor and analyze KPIs, providing monthly/quarterly executive summaries.
  • Ensure data quality, consistency, and accuracy through regular audits and validation.
  • Collaborate with stakeholders to gather requirements and translate them into actionable insights.
  • Maintain comprehensive documentation of data sources, definitions, dashboards, and reporting standards.
  • Provide ad hoc analysis and support for special projects and operational needs.

Requirements

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
  • 3+ years of experience in data analytics with a strong focus on Power BI dashboard development.
  • Advanced proficiency in: Power BI (DAX, Power Query, data modeling) SQL (data extraction, transformation, and optimization) Microsoft Excel (pivot tables, advanced formulas, Power Pivot) Python: API Creation and Integration.
  • Experience working with Microsoft 365 ecosystem (Teams, SharePoint, OneDrive, Outlook).
  • Strong understanding of marketing analytics (e.g., campaign attribution, funnel analysis) and financial reporting (e.g., cash flow, burn rate, revenue forecasting).
  • Excellent communication skills with the ability to present complex data in a clear, actionable format.
  • Detail-oriented with a strong commitment to data integrity, privacy, and confidentiality.
Benefits
  • Professional fluency in English (written and verbal); Spanish bilingual is a plus.
  • Experience with cloud-based databases and data warehouses (Azure).

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
Power BIDAXPower Querydata modelingSQLdata extractiondata transformationMicrosoft ExcelPythonAPI Creation
Soft skills
communicationdetail-orienteddata integritydata privacydata confidentiality