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Data Lead

Job in Evanston, Cook County, Illinois, 60208, USA
Listing for: Rang
Full Time position
Listed on 2026-03-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

As the Data Lead, you will own the end-to-end data lifecycle  will be responsible for building and scaling our data infrastructure, from ingestion and warehousing to the delivery of high-impact visualizations within the Rang app for school networks, administrators, and students. You will drive the technical direction of our data strategy, lead architectural decisions, and ensure that both our product and our internal teams are powered by accurate, real-time insights.

This is a hands‑on leadership role where you will partner closely with Product and Engineering to iterate rapidly, leveraging predictive analytics to turn student data into actionable outcomes.

In order to be successful, this person will:
  • Design and scale our ingestion pipelines and reporting warehouse to support a rapidly growing user base.
  • Collaborate with Product and Engineering to prototype and deploy data features into the Rang app iteratively.
  • Implement predictive analytics models to identify student trends to power the platform with early‑intervention insights.
  • Deliver high‑impact data visualizations for the Rang app, providing clear value to students, school administrators, and district leaders.
  • Build the internal analytics framework that enables our team to measure platform efficacy and drive business decisions.
Competencies and Qualifications

We believe the right person for the Data Lead role will have the following competencies and qualifications:

  • Proven experience scaling data architecture and managing end‑to‑end data pipelines in a fast‑paced environment.
  • A builder mindset with the ability to move from architectural planning to active development without friction.
  • Expert‑level SQL/Python and experience with predictive modeling/data science to forecast student behavior and attendance trends.
  • Strong experience partnering with Product and Engineering teams to integrate data products into a core application.
  • A desire to use data to improve student outcomes and simplify the lives of educators.
  • Strong communication and leadership skills, with a collaborative mindset.
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