Data Analyst

ABOUT THE ROLE

The Data Analyst will support the Insights & Analytics team in collecting, organizing, and analyzing programmatic data to help New Classrooms better understand student outcomes and program performance. This role is responsible for translating data requests from internal stakeholders into clean, well-documented analyses, and presenting findings in ways that are accessible to both technical and non-technical audiences.

The Data Analyst will work alongside applied data scientists, product managers, and program leaders, gaining exposure to the full analytics value chain — from raw data extraction and cleaning through insights development, visualization and stakeholder communication. The role sits within a small but high-impact Insights & Analytics team, and the right candidate will have both the technical aptitude to dig into data and the curiosity to understand the educational context behind it. This is an excellent opportunity for an early-career data professional who is eager to develop their skills in a mission-driven environment. 

WHAT THIS ROLE DOES

Data Management & Analysis

• Extract, clean, and prepare data from multiple sources, to support recurring and ad hoc reporting needs
• Conduct exploratory and descriptive analyses to identify trends, patterns, and anomalies in student and program data
• Maintain and document data queries, transformation logic, and analytical workflows to support team consistency and reproducibility

Reporting & Visualization

• Build and maintain dashboards and reports in Metabase (or comparable BI tools such as PowerBI or Tableau) to support decision-making across the organization
• Translate analytical findings into clear, well-designed visualizations for a range of audiences, including program teams, leadership, and external partners
• Support the development of standardized reporting templates and data products

Cross-Functional Collaboration

• Partner with colleagues across Program Success, Product, and Academic teams to understand data questions and ensure analyses are grounded in operational and programmatic context
• Communicate data findings and their implications clearly to both technical and non-technical audiences, proactively flagging data quality issues or unexpected trends
• Leverage enterprise AI tools where appropriate to increase the efficiency and quality of analytical work

KEY COMPETENCIES OF THE ROLE

• Operates Effectively — Manages multiple concurrent tasks and competing priorities with strong organizational habits, reliable follow-through, and attention to deadlines.
• Judgment / Decision Making — Brings attention to detail and analytical rigor to all work; recognizes when to proceed independently and when to escalate or seek input from others.
• Conceptual Ability — Demonstrates curiosity about the relationship between data and program design; able to understand context well enough to ask better questions and produce more useful analyses.
• Verbal and Written Communication — Translates quantitative findings into accessible narratives for technical and non-technical stakeholders; documents analytical work clearly for team collaboration and continuity.

WHAT WE ARE LOOKING FOR

• You embody our core values : Prioritize People, Initiate and Innovate, Lifelong Learning, Creative Collaboration, Purposeful Partnerships and Considered Confidence.
• 1–3 years of experience in data analysis, analytics, or a related field; relevant internship experience considered
• Fundamental understanding of data analysis concepts and statistical techniques
• Proficiency in SQL for querying and transforming data, including experience with or strong interest in working within a Snowflake data warehouse environment
• Experience with or strong interest in developing skills in Metabase or comparable BI tools (e.g., PowerBI, Tableau)
• Working knowledge of Python and R for data manipulation and analysis
• Experience with Git
• Comfort working with imperfect, uncurated data and a practical mindset for navigating data quality challenges
• Familiarity with or enthusiasm for applying enterprise AI tools (e.g., AI-assisted querying, summarization, or workflow automation) to improve the efficiency and quality of analytical work
• Ability to communicate analytical findings clearly to non-technical audiences
• Desire and ability to work in a fast-paced, entrepreneurial, fully remote environment
• Commitment to educational equity and curiosity about how data can improve outcomes for students

ROLE CLASSIFICATION AND BENEFITS

This role is remote, full-time, and includes benefits such as rich medical, dental, and vision insurance, 41 paid days off per year (prorated for the period in which you work), paid parental leave, a professional development budget, and a quarterly cell phone subsidy.

The hiring salary range for this role is $72,765 - $77,396 and will be commensurate with experience. We have a hiring salary range of $80,850 - $85,995 for specific higher cost-of-labor locations, which include New York City, Boston, Los Angeles, San Francisco/Oakland, San Jose, Seattle, Washington DC, and their metro areas.

New Classrooms is a fully remote organization. All employees work from home and occasionally travel for in-person gatherings and offsites.

EQUAL OPPORTUNITY

All qualified applicants will receive consideration for employment without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, or sex.

ABOUT NEW CLASSROOMS

New Classrooms is a national nonprofit organization focused on reimagining math education for all students. We are a fully remote team of educators, technologists, and advocates committed to the idea that all students deserve an educational pathway that meets them where they are and gets them to where they need to be. We partner with schools, districts, and states to support the implementation of our personalized, competency-based math solution, Teach to One Roadmaps, while also advocating for shifts across the K–12 landscape to create the conditions for more student-centered learning.