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Data Analyst

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: Kipp-Socal-Public-Schools
Full Time position
Listed on 2026-10-19
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 69076 - 93252 USD Yearly USD 69076.00 93252.00 YEAR
Job Description & How to Apply Below
Who We Are

KIPP SoCal Public Schools is a nonprofit organization that operates 20 tuition-free, open-enrollment charter public schools, within 17 Local Education Agencies (LEA), educating more than 10,000 students and supporting 8,300 alumni to and through college and beyond. Our award winning schools are part of the national KIPP (Knowledge Is Power Program) network, dedicated to meeting the needs of all learners and providing the social, emotional and academic support for success in high school, college, and life.

Mission

Together with families and communities, we create joyful, academically excellent schools that prepare students with the skills and confidence to pursue the paths they choose—college, career and beyond—so they can lead fulfilling lives and create a more just world.

What We Do

At KIPP SoCal we build trusting relationships that are strengthened by high expectations and collaboration alongside laughter and joy. We set ambitious goals and hold each other accountable for students achieving their greatest potential. We work together with each other and in partnership with families and communities in the active pursuit of a more equitable world. We do the right thing, even when it's not always comfortable standing up and speaking out against anti-blackness, racism, oppression, and injustice.

We persevere through obstacles and treat failure as an opportunity to learn and grow.

The Opportunity

The Data Analyst will read, clean, and analyze data from various systems, create data visualizations, and present the visualizations with a focus on raising data literacy within the region. Through analysis and visualization of data, KIPP SoCal team members will be able to access and analyze data to drive decisions in the best interests of our students for years to come.

Success in this role requires the application of technical expertise, problem solving, adaptability, strong organizational skills, and continuous self-directed learning.

Reporting to the Data Engineering Manager, the Data Analyst is responsible for the following:

Role Responsibilities:

Regional Analytics Support
  • Serve as a responsive and reliable analytical partner to stakeholders across the organization, completing ad hoc data analysis requests accurately and within established turnaround times.
  • Design and develop analysis reports and dashboards that translate complex data into clear, actionable insights for diverse audiences including school leaders, HR, finance, and operations teams.
  • Contribute to the prioritization and planning of short and long-term analytics needs across stakeholders, helping ensure the team's analytical capacity is directed toward the highest-impact work.
  • Document all data analysis processes and methodologies thoroughly, creating transparency between data producers and end users and building organizational knowledge that reduces dependency on any single team member.
Role Responsibilities:

Dashboard Development & Data Visualization (Tableau)
  • Build, maintain, and continuously improve Tableau dashboards that surface meaningful insights from student information, assessment, HR, and survey data for a variety of stakeholder audiences.
  • Translate complex analytical findings and technical concepts into clear, accessible visualizations and narratives that empower non-technical stakeholders to understand and act on data confidently.
  • Maintain and update existing dashboards to ensure accuracy, relevance, and alignment with evolving organizational needs and data structures.
  • Embed and maintain Tableau dashboards on the organizational website, ensuring pages are accurate, current, and accessible to all stakeholders who rely on them.
Role Responsibilities:

Data Querying & Transformation (SQL & Google Big Query)
  • Write efficient,…
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