{"schemaVersion":"jobsearcher.job.v1","id":"6ff94afb9be7a8bb32af407c","url":"https://jobsearcher.com/jobs/6ff94afb9be7a8bb32af407c","canonicalUrl":"https://jobsearcher.com/jobs/6ff94afb9be7a8bb32af407c","title":"Junior Data Analyst","description":"Lawrence Berkeley National Laboratory is hiring a Junior Data Analyst within the Office of the Chief Financial Officer (OCFO).\r\nReporting to the Business Assurance Manager, this foundation level role within the Business Assurance group provides reporting and data analytics support to the Procurement Department. Under general supervision, the Analyst will apply basic principles, theories, and concepts to bridge procurement business reporting needs and technology by collecting, cleaning, and analyzing financial data to produce actionable insights, financial reports, and dashboards. This position will use SQL, Excel, and data visualization tools to analyze data, detect trends and anomalies, and help the procurement organization in the decision support and strategic decision making by creating and/or updating queries, reports, dashboards, etc.\r\nThe Junior Data Analyst will engage with the Business Systems Group in understanding the OCFO's Business Systems and related data architecture, tables and reporting options.\r\nWhat Success Looks Like\r\nPrecision: Take pride in data integrity and accuracy.\r\nEfficiency: Look for ways to automate repetitive manual reporting, freeing up time for deeper exploratory analysis.\r\nCuriosity: Don't just deliver a chart; ask follow-up questions that help the business pivot or grow.\r\nCollaboration: Translate data into plain English for scientific division and operations' teams.\r\nWhy join Berkeley Lab?\r\nExceptional health and retirement, including pension or 401K-style plans\r\nOpportunities to grow in your career\r\nA culture where you'll belong – we are invested in our teams!\r\nIn addition to accruing vacation and sick time, we also have a Winter Shutdown every year.\r\nParental bonding leave (for both mothers and fathers)\r\nPet insurance\r\nYou will\r\nAssist with analyzing financial datasets to identify trends, patterns, and discrepancies; develop, maintain, and automate reports and dashboards and utilize tools to identify trends and support data-driven decision-making.\r\nSupport the department in transforming raw data into actionable insights. The primary focus is on data maintenance, basic reporting, and assisting senior analysts with moderate division projects.\r\nAssist in gathering data from database sources. Perform regular data \"hygiene\" to identify, troubleshoot, and correct errors or inconsistencies in datasets.\r\nDevelop and maintain automated reports and dashboards using LBNL supported tools to track key performance indicators (KPIs).\r\nSubmit data reports to the Compliance team for DOE and UC reporting requirements.\r\nPerform initial analysis to identify trends, correlations, and patterns in structured and unstructured data.\r\nMaintain clear documentation of data definitions, analysis methodologies, and reporting processes to ensure data integrity across the organization.\r\nWork alongside different departments to understand their data needs and provide basic analytical support for their specific queries.\r\nWe are looking for\r\nA Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, and a minimum of one year of professional experience in related fields.\r\n1 year of experience in a data-related role with a solid foundational background in quantitative fields.\r\nExperience (through coursework or projects) using SQL to query databases and Excel for advanced data manipulation (VLOOKUPs, Pivot Tables).\r\nInternships, capstone projects, or a verifiable portfolio that demonstrates the ability to handle real-world data.\r\nBasic to intermediate knowledge of SQL (joins, subqueries, and data cleaning).\r\nFamiliarity with programming languages for data analysis.\r\nExposure to data visualization tools (e.g., Power BI, Tableau, or Google Looker Studio).\r\nThe ability to break down a complex problem into smaller, manageable parts and approach it with a logical, step-by-step methodology.\r\nStrong verbal and written communication skills, with the ability to explain technical findings to non-technical stakeholders clearly.\r\nAn obsessive eye for accuracy—ensuring that the \"small numbers\" add up before they reach the final report.\r\nA \"growth mindset\" and a willingness to learn new tools and industries as the company's data needs evolve.\r\nAbility to interpret data, conduct analysis, and provide actionable insights.\r\nKnowledge of methods to research, interpret, analyze, compile, and present data and information.\r\nKnowledge of methods related to decision making, problem-solving and analytical.\r\nKnowledge of data analytics to help search data and help analyze.\r\nDesired skills/knowledge:\r\nExperience using and troubleshooting PeopleSoft financials and supply chain management applications release 9.0 or higher.\r\nExperience using PeopleSoft Query and SQL, Cognos reporting tools.\r\nExperience working for a large, Federal direct- and grant-funded research organization.\r\nProfessional certification or advanced education in management information systems, PeopleSoft Financials and Supply Chain 9.0 higher, and Reporting/Data Analytics applications like Cognos 12, Power BI, Google Analytics.\r\nAdditional information\r\nApplication date: Priority consideration will be given to candidates who apply by June 23, 2026. Applications will be accepted until the job posting is removed.\r\nAppointment type: This is a full-time career appointment, exempt (monthly paid) from overtime pay.\r\nSalary range: The budgeted salary range for this position is $74,163 - $86,524 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.\r\nBackground check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.\r\nWork modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information).\r\nWork authorization: Candidates must be eligible to work in the U.S. at the time of hire. Visa sponsorship is not available for this position.\r\nEqual Employment Opportunity Employer. The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.\r\nMisconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.\r\nJ-18808-Ljbffr","company":"Berkeley Lab","rawCompany":"berkeley lab","city":"California","state":"MO","isRemote":false,"isActive":false,"createdAt":"2026-06-25T01:21:41.819Z","occupations":[{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541720","title":"Research and Development in the Social Sciences and Humanities","slug":"research-and-development-in-the-social-sciences-and-humanities"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Junior Data Analyst","description":"Lawrence Berkeley National Laboratory is hiring a Junior Data Analyst within the Office of the Chief Financial Officer (OCFO).\r\nReporting to the Business Assurance Manager, this foundation level role within the Business Assurance group provides reporting and data analytics support to the Procurement Department. Under general supervision, the Analyst will apply basic principles, theories, and concepts to bridge procurement business reporting needs and technology by collecting, cleaning, and analyzing financial data to produce actionable insights, financial reports, and dashboards. This position will use SQL, Excel, and data visualization tools to analyze data, detect trends and anomalies, and help the procurement organization in the decision support and strategic decision making by creating and/or updating queries, reports, dashboards, etc.\r\nThe Junior Data Analyst will engage with the Business Systems Group in understanding the OCFO's Business Systems and related data architecture, tables and reporting options.\r\nWhat Success Looks Like\r\nPrecision: Take pride in data integrity and accuracy.\r\nEfficiency: Look for ways to automate repetitive manual reporting, freeing up time for deeper exploratory analysis.\r\nCuriosity: Don't just deliver a chart; ask follow-up questions that help the business pivot or grow.\r\nCollaboration: Translate data into plain English for scientific division and operations' teams.\r\nWhy join Berkeley Lab?\r\nExceptional health and retirement, including pension or 401K-style plans\r\nOpportunities to grow in your career\r\nA culture where you'll belong – we are invested in our teams!\r\nIn addition to accruing vacation and sick time, we also have a Winter Shutdown every year.\r\nParental bonding leave (for both mothers and fathers)\r\nPet insurance\r\nYou will\r\nAssist with analyzing financial datasets to identify trends, patterns, and discrepancies; develop, maintain, and automate reports and dashboards and utilize tools to identify trends and support data-driven decision-making.\r\nSupport the department in transforming raw data into actionable insights. The primary focus is on data maintenance, basic reporting, and assisting senior analysts with moderate division projects.\r\nAssist in gathering data from database sources. Perform regular data \"hygiene\" to identify, troubleshoot, and correct errors or inconsistencies in datasets.\r\nDevelop and maintain automated reports and dashboards using LBNL supported tools to track key performance indicators (KPIs).\r\nSubmit data reports to the Compliance team for DOE and UC reporting requirements.\r\nPerform initial analysis to identify trends, correlations, and patterns in structured and unstructured data.\r\nMaintain clear documentation of data definitions, analysis methodologies, and reporting processes to ensure data integrity across the organization.\r\nWork alongside different departments to understand their data needs and provide basic analytical support for their specific queries.\r\nWe are looking for\r\nA Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related field, and a minimum of one year of professional experience in related fields.\r\n1 year of experience in a data-related role with a solid foundational background in quantitative fields.\r\nExperience (through coursework or projects) using SQL to query databases and Excel for advanced data manipulation (VLOOKUPs, Pivot Tables).\r\nInternships, capstone projects, or a verifiable portfolio that demonstrates the ability to handle real-world data.\r\nBasic to intermediate knowledge of SQL (joins, subqueries, and data cleaning).\r\nFamiliarity with programming languages for data analysis.\r\nExposure to data visualization tools (e.g., Power BI, Tableau, or Google Looker Studio).\r\nThe ability to break down a complex problem into smaller, manageable parts and approach it with a logical, step-by-step methodology.\r\nStrong verbal and written communication skills, with the ability to explain technical findings to non-technical stakeholders clearly.\r\nAn obsessive eye for accuracy—ensuring that the \"small numbers\" add up before they reach the final report.\r\nA \"growth mindset\" and a willingness to learn new tools and industries as the company's data needs evolve.\r\nAbility to interpret data, conduct analysis, and provide actionable insights.\r\nKnowledge of methods to research, interpret, analyze, compile, and present data and information.\r\nKnowledge of methods related to decision making, problem-solving and analytical.\r\nKnowledge of data analytics to help search data and help analyze.\r\nDesired skills/knowledge:\r\nExperience using and troubleshooting PeopleSoft financials and supply chain management applications release 9.0 or higher.\r\nExperience using PeopleSoft Query and SQL, Cognos reporting tools.\r\nExperience working for a large, Federal direct- and grant-funded research organization.\r\nProfessional certification or advanced education in management information systems, PeopleSoft Financials and Supply Chain 9.0 higher, and Reporting/Data Analytics applications like Cognos 12, Power BI, Google Analytics.\r\nAdditional information\r\nApplication date: Priority consideration will be given to candidates who apply by June 23, 2026. Applications will be accepted until the job posting is removed.\r\nAppointment type: This is a full-time career appointment, exempt (monthly paid) from overtime pay.\r\nSalary range: The budgeted salary range for this position is $74,163 - $86,524 depending upon the candidate's skills, knowledge, and abilities. This includes education, certifications, and years of experience.\r\nBackground check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.\r\nWork modality: Work will be primarily performed at: Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information).\r\nWork authorization: Candidates must be eligible to work in the U.S. at the time of hire. Visa sponsorship is not available for this position.\r\nEqual Employment Opportunity Employer. The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.\r\nMisconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T01:21:41.819Z","dateModified":"2026-06-25T01:21:41.819Z","hiringOrganization":{"@type":"Organization","name":"Berkeley Lab","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"California","addressRegion":"MO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6ff94afb9be7a8bb32af407c"},"url":"https://jobsearcher.com/jobs/6ff94afb9be7a8bb32af407c"}}