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Data Analyst In Education Jobs in California (NOW HIRING)

Bachelor's degree in a quantitative or analytical discipline such as statistics, mathematics, economics, marketing analytics, or a related field. * 3-5 years of professional experience in a data ...

Hybrid role (2 days onsite in a week) for the Sunnyvale and San Francisco locations. The Strategic Business Operations Team (SBO) is looking for a Data Analyst to work in an impactful, collaborative ...

Company Description Client is one of the largest independent banks headquartered in California ... Conduct data analysis, data integration, and data management * Identify and develop new data ...

Company Description Client is one of the largest independent banks headquartered in California ... Conduct data analysis, data integration, and data management * Identify and develop new data ...

Data Analyst

Riverside, CA · On-site

$142K/yr

The ideal candidate will have a strong background in data visualization, data processing, and ... education, and certifications. Our employees value the flexibility at CACI that allows them to ...

Proficiency in Excel * Experience with Tableau or Power BI * Understanding of data validation concepts * Exposure to retail or ecommerce data * Strong analytical skills Skills Retail Analytics, E ...

The ideal candidate will have a strong background in data visualization, data processing, and ... education, and certifications. Our employees value the flexibility at CACI that allows them to ...

... Education: Bachelor's degree in Computer Science, Data Analytics, or a related field - Key Technical Skills: - Strong proficiency in SQL - Experience with data visualization tools (e.g., Tableau ...

Experience in higher education, specifically with admissions, enrollment, and student data, is ... analytical skills Strong written, verbal and interpersonal communication skills Ability to work ...

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Data Analyst In Education information

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts in education play a crucial role in interpreting complex data, providing insights, and making strategic decisions. Human judgment, domain expertise, and communication skills remain essential, and data analysts who develop skills in data visualization, programming, and AI tools will continue to be valuable in the field.

How do Data Analysts in Education typically collaborate with teachers and administrators to improve student outcomes?

Data Analysts in Education often work closely with teachers and administrators to interpret student performance data and identify areas for instructional improvement. By presenting clear, actionable insights from assessment results and attendance trends, analysts help educators tailor interventions and support programs. Regular meetings, workshops, and data-driven presentations are common ways analysts facilitate collaboration, ensuring that data is translated into effective strategies that enhance learning outcomes.

Can a teacher be a data analyst?

Yes, teachers can become data analysts, especially in education settings, by developing skills in data management, statistical analysis, and tools like Excel, SQL, or data visualization software. Their experience with educational data and understanding of curriculum can be valuable in analyzing student performance and program effectiveness.

What does an education data analyst do?

An education data analyst collects, analyzes, and interprets data related to student performance, enrollment, and educational programs to support decision-making and improve educational outcomes. They often use statistical tools and software like Excel, SQL, or Tableau to create reports and visualizations for educators and administrators.

What does a Data Analyst in Education do?

A Data Analyst in Education collects, processes, and interprets educational data to help schools, districts, or educational organizations make informed decisions. They analyze student performance, attendance, and other metrics to identify trends, measure program effectiveness, and support policy development. Their work helps improve teaching methods, resource allocation, and student outcomes by turning complex data into actionable insights.

Is 40 too late for data science?

For a Data Analyst in Education or related roles, starting a career in data science at age 40 is feasible, especially with relevant skills like programming, statistics, and data visualization. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training. Age is less a barrier than acquiring the necessary technical expertise and experience.

What are the key skills and qualifications needed to thrive as a Data Analyst in Education, and why are they important?

To thrive as a Data Analyst in Education, you need strong analytical skills, proficiency in statistics, and a degree in a relevant field such as mathematics, education, or data science. Familiarity with tools like Excel, SQL, education-specific data platforms, and data visualization software (e.g., Tableau or Power BI) is typically required. Attention to detail, problem-solving abilities, and effective communication skills help you translate complex data into actionable insights for educators and administrators. These skills are crucial because they enable data-driven decision-making that can improve student outcomes and institutional effectiveness.
What cities in California are hiring for Data Analyst In Education jobs? Cities in California with the most Data Analyst In Education job openings:
Infographic showing various Data Analyst In Education job openings in California as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Guidewire Data Analyst

Excelon Solutions LLC

San Francisco, CA • On-site

Other

Re-posted 3 days ago


Job description

Job Title: Guidewire Data Analyst

Work Mode: Hybrid 3 days onsite

Locations : San Fransisco, CA

Job Overview

We are seeking a highly skilled Guidewire Data Analyst to join our team. The ideal candidate will have a strong background in Property & Casualty insurance, hands-on experience with Guidewire, and solid expertise in SQL, ETL processes, and reporting. This role requires both technical and business acumen to analyze data, provide insights, and support decision-making within the organization.

Key Responsibilities

  • Analyze and interpret complex insurance data from Guidewire systems.
  • Design, develop, and maintain SQL queries, ETL workflows, and data pipelines.
  • Collaborate with business stakeholders to gather requirements and translate them into reporting solutions.
  • Build dashboards, reports, and ad-hoc analyses to support business operations and compliance.
  • Ensure data accuracy, integrity, and consistency across multiple systems.
  • Partner with cross-functional teams to optimize data usage for business strategies.

Required Skills & Qualifications

  • 5+ years of experience as a Data Analyst in the Property & Casualty insurance domain.
  • Strong working knowledge of Guidewire (PolicyCenter, BillingCenter, or ClaimCenter).
  • Proficiency in SQL for data extraction, transformation, and analysis.
  • Hands-on experience with ETL tools and data integration processes.
  • Proven expertise in reporting and dashboard creation (Power BI, Tableau, or similar).
  • Excellent analytical, problem-solving, and communication skills.
  • Ability to work effectively in a hybrid model (3 days onsite in SF).