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Expert Operations Data Analyst

Job in Oakland, Alameda County, California, 94616, USA
Listing for: The Corporate
Part Time position
Listed on 2026-07-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Intelligence, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below

Position Summary

The Data Analyst is responsible for transforming complex data into clear, actionable insights that drive operational and strategic decision‑making. This role requires an exceptional communicator who can clearly explain data, assumptions, and insights to technical and non‑technical stakeholders alike. The ideal candidate is highly proficient in Power BI for reporting and visualization and Foundry for advanced analytics and data modeling, and is comfortable working across multiple enterprise systems and teams.

Location

& Duration
  • Location: Oakland, CA (Hybrid: up to 2 days per week onsite)
  • Duration: July 06, 2026 – March 10, 2027
Technical Requirements
  • Data Analytics: Python, Excel, and SQL
  • Reporting: Advanced Power BI (executive boards and day‑to‑day dashboards)
  • Enterprise Systems: SAP
  • Tools: Willingness to learn Copperleaf, Foundry, and GIS
Responsibilities Data Analysis & Insights
  • Analyze business data to identify trends, patterns, risks, and opportunities.
  • Demonstrate broad expertise in data processing and analysis.
  • Respond to ad hoc and recurring data requests with accuracy, clarity, and timeliness.
Data Management & Integration
  • Collect, clean, validate, and integrate data from multiple sources.
  • Extract and analyze data from SAP to support planning and forecasting.
  • Create automated data routines to ensure efficient, repeatable reporting.
Reporting, Visualization & Tools
  • Develop and maintain dashboards and visualizations using Power BI.
  • Utilize Foundry for advanced analytics and data modeling.
  • Apply GIS tools for spatial data analysis.
  • Leverage Copperleaf for asset investment planning and lifecycle cost analysis.
Communication & Collaboration
  • Clearly communicate analytical findings and recommendations to diverse audiences.
  • Translate complex data into concise, compelling narratives.
  • Collaborate with cross-functional teams to deliver data‑driven solutions.
Qualifications

Minimum Qualifications
  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or equivalent experience.
  • Demonstrated experience building and maintaining dashboards in Power BI.
  • Strong SQL skills and experience working with structured datasets.
  • Excellent written and verbal communication skills.
  • Proven ability to interpret data and generate actionable insights.
Desired Qualifications
  • Hands‑on experience using Foundry for data analysis or modeling.
  • Experience with Copperleaf.
  • Soft skills:

    Problem‑solving mentality, impeccable organization, agility, and strong communication.
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