Junior Data Analyst

Overview

Lawrence Berkeley National Laboratory is hiring a Junior Data Analyst within the Office of the Chief Financial Officer (OCFO).

Reporting 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.

The 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.

• Precision:
  Take pride in data integrity and accuracy.
• Efficiency:
  Look for ways to automate repetitive manual reporting, freeing up time for deeper exploratory analysis.
• Curiosity:
  Don't just deliver a chart; ask follow-up questions that help the business pivot or grow.
• Collaboration:
  
  Translate data into plain English for scientific division and operations’ teams.

As a Junior Data Analyst, you are the "first responder" to data queries, and data deliverables for the Procurement Department to the Department of Energy or University of California.

We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!

• Application date: Priority consideration will be given to candidates who apply by June 23, 2026
  . Applications will be accepted until the job posting is removed.
• Appointment type: This is a full-time career appointment, exempt (monthly paid) from overtime pay.
• Salary 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.
• Background 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.
• Work modality: Work will be primarily performed at:
  Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. A REAL  other acceptable form of identification is required to access Berkeley Lab sites (for more information ).
• Work authorization: This position is eligible for full-time telework. Individuals on a full-time telework schedule must reside within 150 miles of Berkeley Lab.

• Assist with analyzing financial datasets to identify trends, patterns, and discrepancies; developing, maintaining, and automating reports and dashboards and utilize tools to identify trends and support data-driven decision-making.
• Support 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.
• Assist in gathering data from database sources. Perform regular data "hygiene" to identify, troubleshoot, and correct errors or inconsistencies in datasets.
• Develop and maintain automated reports and dashboards using LBNL supported tools to track key performance indicators (KPIs).
• Submit data reports to the Compliance team for DOE and UC reporting requirements.
• Perform initial analysis to identify trends, correlations, and patterns in structured and unstructured data.
• Maintain clear documentation of data definitions, analysis methodologies, and reporting processes to ensure data integrity across the organization.
• Work alongside different departments to understand their data needs and…