{"schemaVersion":"jobsearcher.job.v1","id":"277bf22752bd198e551c6960","url":"https://jobsearcher.com/jobs/277bf22752bd198e551c6960","canonicalUrl":"https://jobsearcher.com/jobs/277bf22752bd198e551c6960","title":"Senior Data Analyst - Python, SQL & ETL | Utility Analytics","description":"Job TitleAnalytics support for Client NPA and zonal electrification programs, an initiative focused on accelerating building electrification to avoid gas infrastructure investments and support long-term decarbonization goals.Job DescriptionRequired Education: BA/BS Degree in Computer Science, Engineering, or other related field or equivalent work experienceRequired Experience, Knowledge & Skills:4 years of related work experienceCoding skills (Python, SQL, etc.)Experience developing ETL pipelinesDemonstrated communication skillsPreferred Experience, Knowledge & Skills:Advanced skill in Python (or similar programming languages) for data analysis and automationAdvanced skill in SQL and database query languages for extracting, transforming, and analyzing data from data environmentsAdvanced skill in designing and maintaining ETL processes for large datasetsExperience with data visualization and dashboarding toolsExperience in GIS preferredFamiliarity with utility operationsAble to analyze and interpret data and effectively communicate findingsJob Summary:Analytics support for Client NPA and zonal electrification programs, an initiative focused on accelerating building electrification to avoid gas infrastructure investments and support long-term decarbonization goals.Job Responsibilities:ETL Pipeline Creation: Develop and maintain an extract-transform-load data pipeline across multiple different core data environments to screen and prioritize electrification opportunities across Client systemNew Data Sources: Provide recommendations to enhance data pipeline with new data sources and improved data processesProcess Automation: Create automated data routines and processes for reporting and data delivery, ensuring accurate data manipulation and data cleansingDashboards and Ad Hoc Analysis: Develop and communicate clear, concise, and actionable data analyses in the form of dashboards or ad hoc reportsNote:**Only those lawfully authorized to work in the designated country associated with the position will be considered.****Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**","company":"Rose International","rawCompany":"rose international","city":"Oakland","state":"CA","isRemote":false,"isActive":true,"createdAt":"2026-10-01T13:19:42.200Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Analyst - Python, SQL & ETL | Utility Analytics","description":"Job TitleAnalytics support for Client NPA and zonal electrification programs, an initiative focused on accelerating building electrification to avoid gas infrastructure investments and support long-term decarbonization goals.Job DescriptionRequired Education: BA/BS Degree in Computer Science, Engineering, or other related field or equivalent work experienceRequired Experience, Knowledge & Skills:4 years of related work experienceCoding skills (Python, SQL, etc.)Experience developing ETL pipelinesDemonstrated communication skillsPreferred Experience, Knowledge & Skills:Advanced skill in Python (or similar programming languages) for data analysis and automationAdvanced skill in SQL and database query languages for extracting, transforming, and analyzing data from data environmentsAdvanced skill in designing and maintaining ETL processes for large datasetsExperience with data visualization and dashboarding toolsExperience in GIS preferredFamiliarity with utility operationsAble to analyze and interpret data and effectively communicate findingsJob Summary:Analytics support for Client NPA and zonal electrification programs, an initiative focused on accelerating building electrification to avoid gas infrastructure investments and support long-term decarbonization goals.Job Responsibilities:ETL Pipeline Creation: Develop and maintain an extract-transform-load data pipeline across multiple different core data environments to screen and prioritize electrification opportunities across Client systemNew Data Sources: Provide recommendations to enhance data pipeline with new data sources and improved data processesProcess Automation: Create automated data routines and processes for reporting and data delivery, ensuring accurate data manipulation and data cleansingDashboards and Ad Hoc Analysis: Develop and communicate clear, concise, and actionable data analyses in the form of dashboards or ad hoc reportsNote:**Only those lawfully authorized to work in the designated country associated with the position will be considered.****Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**","datePosted":"2026-10-01T13:19:42.200Z","dateModified":"2026-10-01T13:19:42.200Z","hiringOrganization":{"@type":"Organization","name":"Rose International","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Oakland","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"277bf22752bd198e551c6960"},"url":"https://jobsearcher.com/jobs/277bf22752bd198e551c6960"}}