Data modeler Jobs in Berkeley, CA

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. Requirements: Bachelor of Science in Business, Finance, Economics, Engineering, or related discipline or equivalent work experience required. Minimum 4 years of related work experience. Required Skills: 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. Preferred 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.