Business Intelligence Analyst Hybrid

About Us

EDF power solutions North America has been providing clean energy solutions throughout the U.S., Canada, and Mexico since 1987. We are a market-leading independent power producer and service provider, serving utilities, corporations, industries, communities, institutions, and investors with reliable, low-carbon energy solutions that help meet growing demand.

From developing and building scalable wind (onshore and offshore), solar, storage (battery and pumped storage hydro), smart EV charging, microgrids, green hydrogen, and transmission projects, to maximizing performance and profitability through skilled operations and maintenance and innovative asset optimization, our teams deliver expert solutions along the entire value chain—from origination to commercial operation.

Be a part of an innovative and collaborative team environment that fosters our goal of delivering renewable solutions to lead the transition to a sustainable energy future.

• Competitive bonus incentives. This position is eligible for our annual bonus program.
• Comprehensive health coverage. We provide low-cost health & wellness coverage for employees and their eligible dependents.
• Rewarding 401k. We provide a generous matching contribution.
• Favorable paid time off programs, including paid parental leave after one year of service.
• Rewarding learning & career development and advancement opportunities.
• Supportive mentorship & buddy programs.

The full pay range for this role is $95,200 - $158,700 annually, and the good faith estimated starting pay for this position upon hire is $114,255 to $133,030. We generally base our salary decisions on factors including but not limited to, relevant work and leadership experience, education, demonstrated performance, internal equity, and in some cases, geographic location.

The Business Intelligence Analyst 3 will work on three primary tasks: creating financial and operational dashboards and other data visualization and automation tools to support core Asset Optimization (AO) functions, work with interdepartmental teams to provide long-term financial forecasts for generating renewable energy projects, and create other ad-hoc analyses to support internal strategic initiatives and business decisions. Responsibilities will include project managing tasks from intake to delivery including working with internal users on requirements, cleaning/processing data, tool development, and engaging in user feedback to identify future improvements.

This position is Hybrid in San Diego, CA (Rancho Bernardo). Typically, three days per week in office, Tuesday-Thursday.

• Independently build financial and business models and conduct in-depth analyses and presentation of findings to senior management.
• Maintain and develop new features for intercompany digital business intelligence solutions.
• Work with Development, Technical Services, and Asset Optimization business units to ensure that the financial and operational models incorporate the current and relevant information to provide OpEx pricing and allow for accurate and timely bidding on internal projects.
• Apply creative problem-solving skills to pricing and analytical initiatives and focus on continuously improving all models, analyses, and processes.
• Manage project intake and milestone reporting with internal customers/users.
• Report on project actuals to budget performance and interpret the data to identify areas of concerns and potential improvement in business practices.
• Maintain various pricing and analytic databases and monitor, track, and update KPIs for the department.
• Develop and improve databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
• Other duties as assigned.

• Education:
  
  Bachelor’s degree in Finance, Business, Economics, Science, Engineering, Accounting, or a related quantitative field required.
• An MBA or MS in Business Analytics (MSBA) is preferred.
• Data & Analytics:
  Minimum 3+ years of experience working with complex data structures, including hands-on experience with Python/SQL for ETL…