Data Analyst, CommonLit

• 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
• 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

Desirable

• 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
• 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
• 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
• 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 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

• Apply by: Wednesday, April 29, 2026 by 5pm ET