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Senior Operations Data Analyst

Global Technical Talent, an Inc. 5000 Company

RemoteFull timeMid level$166k – $173kPosted today
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About the role

Operations Data Analyst, Expert

Onsite Flexibility: Hybrid — up to 2 days per week onsite at Oakland General Office

Contract Details

  • Position Type: Contract
  • Contract Duration: 8 months
  • Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job 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.

Key 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 (Core Requirement)

  • 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

Required Skills

  • Data analytics using Python, Excel, and conducting data queries as needed
  • Power BI — advanced skills, with ability to create executive boards AND day-to-day dashboards for business analytics
  • SAP — experience extracting and analyzing data to support planning, forecasting, and decision-making
  • Microsoft Excel and Power Query as needed
  • 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
  • Problem solving mentality
  • Impeccable organization skills
  • Agility
  • Impeccable communication skills

Preferred Skills

  • Hands-on experience using Foundry for data analysis, data modeling, or workflows
  • Experience with Copperleaf
  • Willingness to learn Copperleaf, Foundry, GIS, and other platforms

Education Requirements

  • Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Engineering, or a related field (or equivalent experience)

Work Environment / Physical Requirements

  • Local candidates only — submissions restricted to the client's service territory
  • Hybrid schedule — up to 2 days per week onsite at Oakland General Office
  • Client laptop will be provided once available; a vendor-issued laptop is acceptable to access the client network via VPN/Citrix until a client laptop is issued
  • No additional equipment will be provided; any additional equipment needed is the responsibility of the supplier
  • Calls to be made via MS Teams

About the Client

This client is a major utility and energy company serving approximately 16 million people across a 70,000-square-mile service area spanning northern and central California, making it one of the largest combined natural gas and electric energy utilities in the United States. With roughly 25,000 employees, the organization operates some of the most complex energy infrastructure in the country — including transmission lines, pipelines, substations, and generation facilities — and is actively navigating the intersection of traditional infrastructure and emerging clean energy solutions. The company draws engineers, technologists, data analysts, business professionals, and tradespeople who are motivated by the scale, stability, and meaningful mission of delivering safe, reliable energy to millions of Californians every day.

About GTT

GTT is a minority-owned staffing firm and a subsidiary of Chenega Corporation, a Native American-owned company in Alaska. We highly value diverse and inclusive workplaces and support Fortune 500 organizations across banking, financial services, technology, life sciences, biotech, utilities, and retail sectors throughout the U.S. and Canada.

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