Operations Data Analyst, Expert

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

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