Job Details

Summary:

Location: Oakland, CA

Duration: 12 Months

Note: Only submit candidates currently residing locally in the Bay Area/near work location. Assignment is mainly remote but required on-site in Oakland and/or Dublin 4-5 times per month at manager request.

Responsibilities:

• Perform analysis on complex data models requiring customized reports and data.
• Develop new or revise existing data analysis to predict business outcomes selecting from various complex variables.
• Develop and use metrics to develop recommendations related to business strategy and operations. Present findings and recommendations to leaders.
• Manage small to mid-size projects.
• Respond to internal and external data requests, ensuring deadlines are met and stakeholders are satisfied.
• Design effective systems that assist with regulatory filings and various analytical modeling needs based on large volumes of customer and financial data.

• Bachelor of Science in Business, Finance, Economics, Engineering, or related discipline or equivalent work experience required.
• Minimum 4 years of related work experience.

• Advanced SQL, Excel, and Power BI knowledge.
• Strong working experience in data warehousing and business intelligence technologies including knowledge of Relational Database/SQL, SAS, and Business Objects.
• Strong project management, analytical, and problem-solving experience.
• Proficiency in Microsoft Office, Project, Power BI, Power Automate, and Excel.
• Advanced in Information Analysis, Market Research, Metrics and KPI Tracking, Consulting Skills, Project Management skills.
• Proficient in Operational Monitoring & Analysis, Advocacy and Persuasion, Presentation Skills.

• MBA or graduate degree.
• Experience in the energy/utility industry.
• Expert communication and presentation skills.
• Qualitative and quantitative analytical skills to justify any business changes.
• Strong presentation and communication skills to deliver findings and recommendations to various levels of management.
• Adaptable to changing business conditions and ambiguity.