(Agile1)Business Analyst

(Agile1)Business Analyst#26-11505 $58

• 60 per hour Danville, CA Onsite Job Description

TOP THINGS

• Analytical acumen
• experience with PGE and/or Palantir/Foundry
• Not too senior, so I know the candidate will stick around for a while

Job Title:

Business Analyst

Department:

Business Operations / Data Analytics Position Summary We are seeking a detail-oriented and data-driven Business Analyst to join the Asset Failure Analysis team at Client. 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

EEO:

"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of

• Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

"