About Primer

Fixing our K-12 education system is a civilizationally-important problem. We believe that all of our problems including the ones that dominate the headlines are downstream of education.

We have a simple thesis on how to solve it: empower 1000s of educators to launch microschools in their communities.

We believe the historical tradeoff between price (tuition) and quality is a false dichotomy.

PrimerOS automates and eliminates much of the costs of traditional schools. Microschools have a structural advantage asset-light real estate which means much lower capex and opex. You put it together and you get something thats never existed before: a world-class education thats accessible to normal American families and can rapidly scale.

About the Role

Were making our first dedicated Data hire at Primer. Primer might be the most operationally complex company youll ever touchwere sitting on terabytes of underutilized data across every layer of the business. Your role is to turn that raw data into a foundation: building the systems tools and culture that make data indispensable in every decision from daily operations to multi-year strategy.

This is a hybrid role: part data engineer part analytics engineer part BI analyst. Your first mandate will focus on standing up a modern data stack then layering in self-serve dashboards and high-leverage strategic analysis.

Done right this is one of the hardestand most impactfuldata roles youll find.

Responsibilities

• Build scalable data infrastructure: design implement and maintain the pipelines models and systems that ensure data accuracy integrity and accessibility.

• Oversee the development and management of Primers data warehouse to unify currently disjointed sources and create a single source of truth.

• Establish governance documentation and best practices to make data reliable and consistent across every function.

• Design and maintain dashboards and reports that provide stakeholders with accurate timely metrics once the foundation is in place.

• Provide teams with self-service analytics tools and frameworks enabling them to independently explore and act on data.

• Identify key business challenges and opportunities ensuring the right data infrastructure exists to analyze and act on them.

• Partner with leadership and high-leverage teams (e.g. Real Estate) to translate data into strategic and operational decisions.

• Drive organizational alignment around data by standardizing metric definitions across teams ensuring consistency in reporting and championing a culture of data-driven decision-making at every level.

Qualifications

• Experience: 8 years in analytics data science business intelligence or similar roles.

• Education: BS/MS degree in data science statistics mathematics economics finance engineering or a related field (or equivalent work experience).

• Technical Skills:

  • Strong proficiency in SQL.

  • Proficiency with Python or R.

  • Experience with BI tools like Tableau Looker Power BI or equivalent.

  • Experience with modern data stack tools like dbt or equivalent.

• Communication Skills: Excellent data storytelling skills to effectively engage with stakeholders.

• Collaboration Skills: Strong ability to work across departments identifying and prioritizing analytics problems to deliver actionable insights.

• Curiosity and Initiative: Intense curiosity to ask why and use data to find answers combined with a no task too small mentality.

• Self-Motivation: Ability to work independently and as part of a team in a fast-paced startup environment.

Bonus Skills

• Experience with analytics notebook tools like Hex Hyperquery or equivalent.

If this sounds like you please apply!