1 день назад
Energy Efficiency Data Analytics Advisor
129 200 - 193 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Energy Efficiency Data Analytics Advisor (Data Analytics): Transforming complex Energy Efficiency program data into actionable business insights, dashboards, reports, and recommendations with an accent on data quality, statistical analysis, and performance monitoring. Focus on developing predictive models and machine learning solutions, communicating findings to non-technical stakeholders, and aligning analytics with program and regulatory needs.
Location: Irwindale, California, US; hybrid work with required attendance at an SCE facility. Employees are generally required to work and reside in California.
Salary: $129,200–$193,700 annually
Company
is an energy utility focused on clean energy innovation, safety, reliability, and reducing carbon emissions.
What you will do
- Collect, clean, preprocess, and validate data from databases, spreadsheets, APIs, and data warehouses.
- Apply statistical, analytical, predictive modeling, data mining, machine learning, and AI-enabled techniques to identify trends and relationships.
- Build dashboards, visualizations, reports, and executive-level summaries that communicate actionable insights to non-technical audiences.
- Monitor data quality and program performance while improving analytics methodologies and processes.
- Partner with data scientists, business analysts, program managers, and cross-functional stakeholders to align analysis with business needs.
- Protect physical, financial, cybersecurity, customer, medical, proprietary, and other sensitive company data.
Requirements
- Seven or more years of data analysis experience.
- Experience using a variety of data tools and software.
- Ability to work in a hybrid mode and generally reside in California.
- Ability to support emergency response and business continuity efforts, including an on-call IMT rotation approximately every four to six weeks.
- Bachelor’s degree or higher in Business, Data Science, Economics, Statistics, Engineering, or a related field is preferred.
Nice to have
- Experience with SQL, Python, SAS, or similar programming tools.
- Experience with predictive models, statistical analyses, machine learning applications, and AI-enabled solutions such as Microsoft Copilot and Copilot agents.
- Experience building dashboards with Power BI, Tableau, or similar platforms.
- Knowledge of Energy Efficiency, Building Electrification, income-qualified programs, or CPUC regulatory reporting.
- Experience managing multiple analytical projects and influencing outcomes through data-driven insights.
Culture & Benefits
- Hybrid work with remote work available on designated days.
- Opportunity to contribute to cleaner energy, reduced carbon emissions, and improved air quality.
- Work supporting safety and reliability for utility customers.
- Emergency response and business continuity participation as part of the role.
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