Remote Data Analytics Lead – Legal Ops & AI

Ladders

United States

Remote

USD 100,000 - 171,000

Full time

8 hours ago
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Benefits offered by this job

Comprehensive technology setup for rem
Monthly connectivity reimbursement for
Support for a dedicated workspace at h
Opportunities for professional develop
Flexible work arrangements, including远

Job summary

Ladders is seeking a Data Analytics Manager for a client in the Finance & Insurance space. This remote role shapes analytics strategy for legal operations, turning data into clearer visibility, stronger decision-making, and more effective service delivery.

The ideal candidate will lead reporting and dashboard development while partnering with technology and operations teams to improve data pipelines, governance, and quality, with a focus on responsible AI use, predictive insights, and business

Qualifications

  • 7+ years in data analytics, business intelligence, or related fields.
  • Proven leadership experience in analytics teams and talent development.
  • Expertise in Power BI, including data modeling and governance.
  • Familiarity with Microsoft Fabric and data engineering principles.
  • Strong understanding of AI applications in analytics and legal operations.

Responsibilities

  • Define and implement the analytics strategy for legal operations
  • Lead the development and governance of Power BI dashboards and reporting
  • Collaborate on building and maintaining data pipelines and warehouse solutions
  • Integrate responsible AI use cases into analytics processes
  • Establish predictive modeling frameworks for actionable insights
  • Create business cases linking technology investments to operational outcomes
  • Ensure data governance and quality standards are met across analytics

Skills

Leadership
Data analytics
AI in analytics
Business intelligence

Tools

Power BI
Microsoft Fabric

Job description

Ladders is seeking a Data Analytics Manager for a client in the Finance & Insurance space. This remote role shapes analytics strategy for legal operations, turning data into clearer visibility, stronger decision-making, and more effective service delivery.

The ideal candidate will lead reporting and dashboard development while partnering with technology and operations teams to improve data pipelines, governance, and quality, with a focus on responsible AI use, predictive insights, and business

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