Operations Data Analyst, Expert
Job in
Oakland, Alameda County, California, 94616, USA
Listed on 2026-03-06
Listing for:
Finezi Inc.
Full Time
position Listed on 2026-03-06
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Mining
Job Description & How to Apply Below
Job Title:
Operations Data Analyst – Expert
Location: 300 Lakeside Dr, Oakland, CA 94612 (Onsite/Hybrid as applicable)
Duration: 12 Months
Pay Rate: $60–$90/hr (W2)
Position OverviewWe are seeking an experienced and highly analytical Operations Data Analyst – Expert to transform complex enterprise data into clear, actionable insights that drive operational and strategic decision-making. This role requires advanced data analysis expertise, strong Power BI capabilities, and exceptional communication skills to effectively translate data insights for both technical and non-technical stakeholders.
The ideal candidate is comfortable working across multiple enterprise systems, collaborating cross-functionally, and building scalable, automated reporting solutions.
Key Responsibilities Data Analysis & Insight Generation- Analyze large and complex datasets to identify trends, risks, patterns, and operational improvement opportunities
- Apply advanced analytical techniques to support business decision-making
- Respond to ad hoc and recurring data requests with accuracy and timeliness
- Translate analytical results into actionable recommendations
- Collect, clean, validate, and integrate data from multiple enterprise systems
- Extract and analyze data from SAP to support forecasting and planning efforts
- Manage structured data extraction and transfer processes
- Develop automated data routines and scalable reporting workflows
- Design and maintain interactive dashboards and reports using Power BI
- Utilize Foundry for advanced analytics, modeling, and workflow management (preferred)
- Apply GIS tools for spatial analysis and mapping
- Support asset investment planning and lifecycle analysis using Copperleaf (preferred)
- Clearly communicate analytical findings, assumptions, and insights
- Present data-driven narratives to business leaders and stakeholders
- Partner with cross-functional teams to define analytical requirements
- Act as a trusted advisor in shaping analytical questions and strategic insights
- Bachelor’s degree in Data Analytics, Statistics, Computer Science, Engineering, Business, or related field (or equivalent experience)
- Advanced SQL skills with experience working with structured datasets
- Proven ability to interpret data and generate actionable insights
- Excellent written and verbal communication skills
- Experience working cross-functionally to deliver data-driven solutions
- Hands-on experience with Foundry for data modeling and workflows
- Experience with Copperleaf for asset investment planning
- Experience working in utility, energy, or asset-intensive industries
- Analytical Thinking
- Data Storytelling & Executive Communication
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