Data Analyst

RESPONSIBILITIES

Kforce's client in Foster City, CA is seeking a Data Analyst to support the data systems and reporting that power our autonomous fleet operations. The Data Analyst will transform vehicle telemetry, service logs, and operations data into clear insights that improve decision-making across operations, safety, and engineering teams. This role focuses on analytics, reporting, KPI development, and building accessible datasets and dashboards that help teams understand performance and drive improvements.

Responsibilities

Data Analysis & Reporting:

• Analyze vehicle telemetry, service logs, dispatch data, and operational metrics to identify trends and actionable insights
• Build and maintain dashboards and recurring reports for fleet operations, safety, and engineering stakeholders
• Define, track, and report on KPIs related to fleet performance, mission success, readiness, and operational efficiency
• Ensure datasets used for analysis are accurate, well-structured, and reliable

Cross-Functional Collaboration:

• Partner with operations teams (fleet ops, safety, remote assist) to understand reporting needs and business questions
• Translate business needs into data insights and reporting solutions in close collaboration with engineering and product teams
• Enable self-service analytics by creating well-documented datasets, reports, and dashboards
• Communicate findings clearly to both technical and non-technical stakeholders

Operational Insights & Process Improvement:

• Identify inefficiencies, recurring issues, and performance gaps through data analysis
• Support operational decision-making with timely, data-driven recommendations
• Help create structured feedback loops where operational learnings are captured, analyzed, and shared
• Assist in automating recurring reporting and reducing manual efforts where possible

REQUIREMENTS:

• Pursuing Bachelor's or Master's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field
• Experience with operational, logistics, or fleet-related data is a plus
• Strong proficiency in SQL for querying, data manipulation, and analysis
• Proficiency in Python for data analysis and reporting preferred
• Experience with data visualization tools (Looker, Tableau, or Power BI)
• Experience working with large datasets and transforming raw data into actionable insights
• Familiarity with Databricks or similar analytics platforms is a plus
• Available to commit to a minimum three-month assignment
• Able to commit a minimum of 20 hours per week
• Able to work on-site at one of our office locations
• Must adhere with confidentiality requirements, including refraining from using or sharing proprietary company information outside, such as in academic research, theses, publications, or presentations

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions. Kforce is an Equal Opportunity/Affirmative Action Employer.

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