
Data Analyst
CommonLitSummary
Mid-level Data Analyst role at CommonLit, a nonprofit education technology organization, responsible for translating quantitative and unstructured data into actionable insights that drive strategic decisions across the organization.
Job Description
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 & Benefits
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:
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Health, dental, and vision insurance
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HSA and FSA Plans, including Medical FSA, Limited FSA, and Dependent Care FSA options
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Company-sponsored basic life insurance, with additional options for supplemental life insurance
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Legal insurance
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401(k) retirement plan with a 4% safe harbor employer match
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Access to exclusive discounts, including pet insurance, hotel booking discounts, and more
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Remote work support, including a home office set-up stipend
Generous time off, including:
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16 paid holidays annually
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Paid time off accruals and sick leave
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Paid family leave, including caregiver leave, medical leave, and 12 weeks of paid parental leave
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2 floating holidays
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Volunteer and school visitation leave
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Jury duty leave
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Bereavement and compassionate leave
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Blood, bone marrow, and organ donation leave
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Flexible work options
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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:
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Monthly remote activities, such as dumpling-making, yoga, and virtual escape rooms
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Monthly "CoffeeLit" sessions for connecting with colleagues
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Learning and development opportunities for teams and individuals
Apply by: Wednesday, April 29, 2026 by 5pm ET
