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CommonLit
IT, Data Science
Remote
CommonLit is a nonprofit education technology organization dedicated to ensuring that all students, especially students in Title I schools, graduate with the reading, writing, communication, and problem-solving skills they need to be successful in college and beyond. We envision a world where all students get the opportunity to have a world class education. We operate an online reading program for grades 3-12, www.CommonLit.org, that is used by teachers in over 90,000 American schools.
The Opportunity
The Data Team translates our vast amounts of quantitative and unstructured data into insights that drive CommonLit to make the best possible decisions in support of our mission and goals. We sit within the Strategy team, a small, high-autonomy group focused on helping leaders set direction, align around execution, and tackle the analytical work that matters most. The Data Analyst’s work will support decision-making about our direction, impact, and resource allocation. This role will have real cross-functional exposure, working with colleagues across Product, Revenue, Engineering, Research, and Operations to surface insights that would otherwise stay hidden in the data.
The Data Analyst will work closely with our Data Scientist and report directly to the Director of Data & Analytics, with regular exposure to leaders across the organization. We're a small team that operates with high trust and low bureaucracy, so the Data Analyst will have real ownership over their work from day one. We actively embrace AI tools to extend our capacity and move faster, and the Data Analyst will be expected to bring that same orientation to their work.
This is a mid-level role for analysts who have demonstrated intermediate proficiency in the competencies required for effectively using data to support decision-making. The Data Analyst should be able to independently own and maintain Business Intelligence infrastructure, translate stakeholder questions into well-scoped analyses, and produce clear, actionable outputs for non-technical audiences. They should also be able to contribute meaningfully to data infrastructure and take ownership of specific team functions.
Own Business Intelligence (BI) and product reporting infrastructure
Design, build, and maintain BI dashboards and the underlying data models that power them
Serve as the team's primary owner of reporting infrastructure, ensuring metrics are consistently defined and reliably surfaced across the organization
Ensure reporting reflects current business logic and is applied consistently across dashboards
Monitor core reporting outputs and proactively flag inconsistencies or anomalies
Generate valuable and actionable insights for stakeholders
Translate ambiguous stakeholder questions into well-defined analyses and concrete reporting outputs
Analyze user flows and behavioral patterns to inform product decisions
Produce clear, well-framed deliverables tailored to non-technical audiences
Exercise judgment in prioritizing requests based on organizational impact and strategic alignment
Contribute to data infrastructure
Own semantic modeling supporting core reporting and metric needs
Write clean, tested, and well-documented transformation logic
Ensure new metrics can be reliably used in downstream dashboards
Collaborate on infrastructure changes to avoid bottlenecks and maintain pipeline integrity
Drive reporting adoption and self-service
Drive adoption of reporting tools by enabling teams to access and interpret data independently
Communicate with stakeholders outside the department to obtain or provide information requiring explanation or interpretation
Influence operational decisions through clear presentation of technical findings and dashboards
Minimum Qualifications
Two or more years of experience in a data analytics role
Demonstrated proficiency in SQL, including writing and maintaining complex queries
Experience building and maintaining dashboards in a BI tool (e.g., Looker, Tableau, or similar)
Working knowledge of statistical concepts and their practical application in an analytics context
Strong written and verbal communication skills, particularly when presenting findings to non-technical audiences
Preferred Qualifications
Experience in a SaaS, technology, or edtech organization
Familiarity with data modeling concepts and transformation tools (e.g., dbt or similar)
Experience with statistical analysis tools (R or Python)
Familiarity with version control tools and workflows (e.g., git
This role involves prolonged periods in a stationary position at a desk and working on a computer
Must be US-based
Salary: $90,000 - $120,000, commensurate with experience
At CommonLit, we are committed to fostering a supportive and inclusive company culture that values work-life balance and adapts to life’s changes. We offer a comprehensive benefits package designed to support our employees’ health, well-being, and financial security:
Health, dental, and vision insurance
HSA and FSA Plans, including Medical FSA, Limited FSA, and Dependent Care FSA options
Company-sponsored basic life insurance, with additional options for supplemental life insurance
Legal insurance
401(k) retirement plan with a 4% safe harbor employer match
Access to exclusive discounts, including pet insurance, hotel booking discounts, and more
Remote work support, including a home office set-up stipend
Generous time off, including:
16 paid holidays annually
Paid time off accruals and sick leave
Paid family leave, including caregiver leave, medical leave, and 12 weeks of paid parental leave
2 floating holidays
Volunteer and school visitation leave
Jury duty leave
Bereavement and compassionate leave
Blood, bone marrow, and organ donation leave
Flexible work options
Low-stress weeks around Thanksgiving and in late December
As a remote-first organization, CommonLit has team members in nearly 30 states and Washington, D.C. We strive to create a collaborative and engaging workplace through various connection opportunities:
Monthly remote activities, such as dumpling-making, yoga, and virtual escape rooms
Monthly "CoffeeLit" sessions for connecting with colleagues
Learning and development opportunities for teams and individuals
Apply by: Wednesday, April 29, 2026 by 5pm ET
