EdTech Jobs

Role Snapshot

Senior Data Analyst at KIPP Foundation developing and maintaining trusted dashboards and reports across academics, student operations, enrollment, and compliance to support student success outcomes. The role involves leading the transition from Tableau to BI-as-code tools and working with stakeholders to build impactful data products.

Key Responsibilities: Build and maintain dashboards and reports with an equity lens across academic, enrollment, and compliance domains; develop, test, and document dbt models and Cube semantic-layer metrics; support users through stakeholder engagement and manage the project intake lifecycle for data products.
Skills & Tools: Proficiency in SQL, dbt, Cube semantic layer, Tableau, Git, and AI-assisted tools like Claude; strong ability to document and communicate technical concepts to non-technical stakeholders; experience with code review, version control, and BI tool transitions.
Qualifications: Not explicitly stated in job description; typically requires 3-5+ years of data analytics or analytics engineering experience with demonstrated expertise in building and maintaining data products and dashboards. Experience with educational data, nonprofit organizations, or equity-focused analytics is preferred.
Location: Hybrid - Newark, NJ
Compensation: $110K–$160K/yr (estimated)

Job Description

KIPP TEAM & Family’s Data, Technology and Innovation Team (DTI) seeks a Data Analyst to develop and maintain trusted dashboards and reports across academics, student operations and enrollment, and compliance. You will work directly with leaders to build data products that help our students on their path to college, careers and choice-filled lives.

Our stack includes SQL, dbt, the Cube semantic layer, Tableau, Git and Claude, to name a few. Our analytics engineering work runs through an AI-assisted development workflow with version control and code review. Over the next year, we plan to replace Tableau with BI-as-code tools, and you will help shape that shift.

Here's what you'll be doing:

Build Trusted Data Products (60%)

  • Develop and maintain dashboards and reports across academic, enrollment and compliance data, with an equity lens
  • Help lead our move from Tableau to BI-as-code tools
  • Create documentation and training that drive consistent, confident use and scalable development

Develop and Maintain Data Models (25%)

  • Build, test and document dbt models and Cube semantic-layer metrics in our shared repository
  • Ship work through our development cycle: branches, pull requests, code review and automated checks
  • Use AI-assisted tools like Claude to work faster, while verifying every output and protecting student privacy

Support Users and Drive Improvement Cycles (15%)

  • Work directly with stakeholders, from teachers to board members, to integrate their feedback and build data products people can use effectively    
  • Manage life cycle of project intake and request tracking for data products