Operations Data Analyst, Expert

Location Oakland, CA Duration July 06, 2026 – March 10, 2027 Notes The role is hybrid, requiring up to 2 days per week onsite at the Oakland General Office. Top Requirements Technical Skills Data analytics (Python, Excel, conducting data queries) Power BI (Advanced skills: creating executive boards and day-to-day dashboards) SAP Microsoft Excel and Power Query Soft Skills Problem‑solving mentality Willingness to learn (Copperleaf, Foundry, GIS, and other platforms) Impeccable organization and communication skills Agility 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. Responsibilities Data Analysis & Insights Analyze business data to identify trends, patterns, risks, and opportunities for operational and strategic improvements. Demonstrate broad expertise in data processing and analysis, applying analytical techniques to a wide range of business questions. 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 to ensure accuracy and consistency. Extract and analyze data from SAP to support planning, forecasting, and decision‑making. Manage data extraction and transfer from databases to support operational analysis across teams. Create automated data routines and processes to ensure efficient, repeatable reporting and data delivery. Reporting, Visualization & Tools Develop and maintain dashboards, reports, and visualizations using Power BI to clearly communicate insights and performance metrics. Utilize Foundry for advanced analytics, data modeling, and analytical workflows (knowledge of Foundry is preferred, not a requirement). Apply GIS tools for spatial data analysis and mapping to support location‑based decision‑making. Leverage Copperleaf for asset investment planning, lifecycle cost analysis, and value‑based decision support (knowledge of Copperleaf is preferred, not a requirement). Communication & Collaboration Clearly communicate analytical findings, assumptions, and recommendations to diverse audiences. Translate complex data into concise, compelling narratives that support informed decision‑making. Collaborate with cross‑functional teams to understand business needs, identify challenges, and deliver data‑driven solutions. Act as a trusted partner to stakeholders by helping shape analytical questions and clarify insights. Minimum Qualifications Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (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, with a proven ability to explain complex data clearly. Strong ability to interpret data, identify trends, and generate actionable insights. Ability to clearly communicate complex data findings to both technical and non‑technical stakeholders. Experience working in cross‑functional teams and translating business needs into data‑driven solutions. Desired Qualifications Hands‑on experience using Foundry for data analysis, data modeling, or workflows. Experience with Copperleaf. #J-18808-Ljbffr