Operations Data Analyst, Expert

We are looking for Operations Data Analyst, Expert for our client in Oakland, CA

Job Title: Operations Data Analyst, Expert

Job Location: Oakland, CA

Job Type: Contract

Job Overview:

Pay Range: $77.14hr - $82.14hr

Requirement/Must Have:

• Bachelor s degree in data science, computer science, engineering or equivalent experience.
• 5+ years of related experience or equivalent.
• Experience with programming and scripting languages, such as Python and SQL.
• Experience with data warehousing, data quality, and ETL techniques.
• Experience with data processing tools such as Excel, SharePoint, and Microsoft Lists.
• Experience with financial and techno-economic modeling.

Responsibilities:

• Identify opportunities to develop criteria and methodologies for incorporating flexible load resources into planning scenarios by working with planners to identify areas with overloads, reliability issues, and operational risks.
• Connect with experts to understand available data sources and develop strategies that support the efficient management and application of that data to inform key decision-making.
• Support the development of executive and board-level materials by synthesizing analytical findings, insights, and recommendations for key stakeholders and decision makers.
• Support regulatory strategy, proceedings, stakeholder engagement, and DER valuation discussions with regulatory bodies and other stakeholders.
• Leverage research and analysis to provide insights to planning and operations professionals on cost-effective ways to use flexible load resources to solve grid constraints.
• Design and execute field studies and planning analyses to validate the firmness, duration, and magnitude of load relief, rate impacts, and financial outcomes delivered by DERs.
• Develop an inventory of technical requirements to inform future load management program design and regulatory filings aligned with the organization s strategy.
• Support the development, enhancement, and application of analytical tools, including complex techno-economic modeling, forecasting, data analysis, and program evaluation.
• Gather, evaluate, and manage market, financial, regulatory, and other relevant industry data to support DER valuation and cost-effectiveness analyses.
• Develop dashboards, visualizations, and executive-ready materials that translate complex technical and financial analyses into actionable recommendations.
• Serve as a liaison between the LMS&P and Transmission and Distribution planning teams to integrate learnings into planning, procurement, and business processes.
• Conduct benchmarking studies and use relevant industry data to support program and strategy development.
• Collaborate with valuation and strategy leads to develop and apply DER valuation methodologies, including project planning and tool deployment.
• Coordinate with internal teams, external vendors, aggregators, and industry partners to evaluate flexible load capabilities and implementation pathways.
• Partner with program and customer-facing teams to ensure flexible load solutions are technically viable, cost-effective, and scalable.

Nice to Have:

• Degree or advanced coursework in data science, engineering, economics, energy systems, or a related field.
• Master s degree in business administration, engineering, or another advanced degree.
• Experience with grid modeling, power flow, or planning tools such as CYMDIST, PSLF, Aspen, or similar applications.
• Experience with business intelligence platforms, such as Power BI.
• Experience in transmission or distribution system planning and operations.
• Knowledge of DER integration, communications protocols, and grid impacts, including IEEE 2030.5, CSIP 2.1, OpenADR, aggregator APIs, and telecommunications.
• Experience with DER valuation frameworks, financial modeling, and methodologies such as the Avoided Cost Calculator and Non-Wires Alternatives.
• Demonstrated experience in project, product, or program management in the context of utility operations or IT systems.
• Familiarity with utility regulations, regulatory processes, and policy context.

Skills:

• Analytical proficiency.
• Model building.
• Python.
• SQL.
• ETL techniques.
• Data warehousing.
• Techno-economic modeling.
• Power systems analysis.
• Excel.
• SharePoint.
• Power BI.
• Strong verbal and written communication skills.
• Project management.
• Stakeholder management.

Qualification And Education:

• Organized and motivated with a track record of building consensus within matrixed teams.
• Ability to navigate ambiguity and independently move concepts from strategy to execution.
• High attention to detail and strong organizational skills.
• Action-oriented self-starter mindset.

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• Medical, Dental, and Vision Insurance
• 401(k) Retirement Plan
• Health Savings Account (HSA)
• Disability Insurance (Short-Term and Long-Term)
• Life and AD&D Insurance
• Paid Sick Leave (where required by applicable state or local law)
• Supplemental Insurance Plans
• Identity Theft Protection
• Pet Insurance
• Employee Wellness Programs
• Employee Assistance Program (EAP)
• Career Growth and Professional Development Opportunities