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Business Analyst

Work from home Full-time role Hiring

Job Title: Business Analyst (Utility Domain Exp MUST) Job ID: PCGJP00004315 Location: Danville, CA (Remote) Duration: 1 year TOP THINGS:

  • Analytical acumen

Experience with Utility and/or Palantir/Foundry

  • Not too senior, so I know the candidate will stick around for a while

Position Summary We are seeking a detail-oriented and data-driven Business Analyst to join the Asset Failure Analysis team. The ideal candidate will support data-informed decision-making by reviewing asset failure and historical performance data into actionable forward-looking insights. This role plays a key part in driving process improvements, forecasting, and strategic initiatives across the organization that directly impact reduction of wildfire risk and improvement of system reliability.

Key Responsibilities

  • Analyze business data to identify trends, variances, and opportunities for operational efficiency
  • Develop dashboards, reports, and models to support departments such as compliance, operations, strategy, and wildfire risk
  • Collaborate with cross-functional teams to define KPIs and measure performance against business goals
  • Prepare and present findings to stakeholders in a clear, actionable format
  • Support ongoing improvement of data integrity and analytics capabilities
  • Assist with data extraction, cleaning, and transformation for reporting and ad hoc analysis

Required Qualifications

  • Bachelor’s degree in Business, Economics, Data Analytics, or a related field
  • 2+ years of experience in a business analytics or data-focused role
  • Intermediate to advanced proficiency in Microsoft Excel (formulas, pivot tables, charts, etc.)
  • Proven experience analyzing and visualizing complex datasets
  • Strong analytical, problem-solving, and communication skills

Preferred Qualifications

  • Experience with the Palantir Foundry platform or similar enterprise analytics tools
  • Familiarity with the utility industry or infrastructure-related projects
  • Exposure to SQL, Python, or other data querying languages (a plus, not required)
  • Experience with BI tools such as Power BI, Tableau, or similar platforms

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