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Operations Data Analyst, Expert

Job in Oakland, Alameda County, California, 94616, USA
Listing for: Finezi Inc.
Full Time position
Listed on 2026-03-06
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 60 - 90 USD Hourly USD 60.00 90.00 HOUR
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 Overview

We 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
Data Management & Integration
  • 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)
Communication & Cross-Functional Collaboration (Core Focus)
  • 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
Minimum Qualifications
  • 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
Preferred Qualifications
  • 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
Core Competencies
  • Analytical Thinking
  • Data Storytelling & Executive Communication
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