Data Analyst

About This Role

The Data Analyst will generate analyses and reports that empower teams to make faster, more informed decisions to advance the mission of helping children love learning math. This role involves optimizing and maintaining data models, operating at the intersection of data infrastructure, analytics, and storytelling.

Responsibilities

• Create analyses and reports to empower teams across the organization
• Optimize and maintain data models that power analyses and visualizations
• Drive insight generation and cross-functional enablement, transforming raw data into clear, actionable insights
• Partner with stakeholders to define questions, conduct analyses, and communicate findings that guide strategy and execution
• Translate complex data into clear narratives and recommendations
• Build analytical models and dashboards that track key performance metrics
• Develop repeatable, high-impact analyses that reduce one-off data requests and increase analytical self-service
• Partner with Software, Data Engineers, and Senior Analysts to improve data pipelines, documentation, and schema design
• Establish and enforce data governance standards, ensuring quality, consistency, and accuracy
• Identify and address data reliability gaps, proactively improving data health and strengthening trust in analytics outputs
• Implement repeatable or automated data quality checks to surface anomalies early and reduce downstream reporting errors
• Own the ongoing design, iteration, and maintenance of dashboards and analytical tools
• Identify recurring questions or points of confusion in reporting and proactively improve metric definitions, visualizations, or documentation to increase clarity and adoption

Requirements

• Understanding of relational data structures
• Ability to use Python or similar languages to automate workflows and analyses
• Strategic thinking skills to connect insights to business goals
• Clarity in communication to translate complex analyses into salient insights
• Cross-functional collaboration with technical and non-technical teams
• Familiarity with querying relational databases using languages such as SQL or Python
• Familiarity with scripting languages such as Python or R for data manipulation

Qualifications

• Bachelor’s degree (Computer Science, Mathematics, Statistics, Data Science, or a related field preferred)

Skills

* Required skills

Benefits