Data Analyst

About Our Client

Our client is a nonprofit educational entity whose mission is to inspire all kids to love learning math. Everything it does is driven by the belief that every kid is a math kid.

Its top-rated learning platform is designed to catch kids up and move them forward in grade-level math. Research shows students who use the platform make significant gains in math proficiency, including those who start multiple grade levels behind.

As a nonprofit, all work is driven by what is best for kids. At the same time, it operates as an intense and fast-moving technology company, inclusively solving hard problems that will impact current and future generations. The problems solved require expertise in teaching, learning science, software development, design, video production, and countless other disciplines. As an organization that is always stretching to get to the next level of impact, every single person owns mission-critical work.

About The Role

The Data Analyst will create analyses and reports that empower teams across the organization to make better, faster, and more informed decisions to advance the mission: helping all children learn and love math. This role will work as part of the team to optimize and maintain the data models that power analyses and visualizations.

This role will operate at the intersection of data infrastructure, analytics, and storytelling, ensuring that the organization’s data is accurate, accessible, and actionable. In partnership with other teams across the organization, this role will measure impact, communicate with partners and funders, and scale success. This is achieved by:

Driving insight generation and cross-functional enablement, transforming raw data into clear, actionable insights that drive decisions across the organization.

• Partner with stakeholders across the organization, with varying levels of data fluency, to define questions, conduct analyses, and communicate findings that guide strategy and execution.
• Translate complex data into clear narratives and recommendations, elevating the role of data in planning, prioritization, and measurement.
• Build analytical models and dashboards that track key performance metrics, ensuring leaders have the visibility they need to evaluate impact and inform next steps.
• Develop repeatable, high-impact analyses that reduce one-off data requests and increase analytical self-service across the organization.

Developing and maintaining data infrastructure, ensuring the organization’s analytics foundation is reliable, scalable, and usable.

• 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 across all reporting systems.
• 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, ensuring they remain accurate, usable, and aligned with the organization’s evolving priorities.
• Identify recurring questions or points of confusion in reporting and proactively improve metric definitions, visualizations, or documentation to increase clarity and adoption.

Example Problems to be Solved

• When an external partner or internal stakeholder has a question, what’s the right data to help them answer it?
• As reporting expands to meet stakeholder needs, how can the growing suite of reports and reporting tools remain usable and maintainable?
• How can automated tests and supplemental outputs make data quality checks easier?
• When someone reports data that looks strange to them: Is it a bug? If not, why is the data like that?
• What are the common difficulties and pain-points for users of reports? How can they be alleviated?

The Skills and Behaviors You’ll Use

• Growth Mindset: If you don’t know how to do something, try your best to figure it out, whether that means reading documentation, asking colleagues, or developing creative debugging queries. If a disaster occurs, work collaboratively with the team to develop better systems and guardrails to prevent it from recurring.

• Technical Mastery: Understand relational data structures, and can use Python or similar languages to automate workflows and analyses.

• Strategic Thinking: Understand how insights connect to business goals and help the organization scale its impact.

• Clarity in Communication: Learn about the context of stakeholder requests so that complex analyses can be translated into insights that are salient for the audience. Recognize potential ambiguities and opportunities for misunderstandings in data requests and communicate with stakeholders to resolve them.

• Cross-Functional Collaboration: Build strong partnerships with both technical and non-technical teams.

Potential Markers of These Skills

• Bachelor’s degree (Computer Science, Mathematics, Statistics, Data Science, or a related field preferred)
• Familiarity with querying relational databases using languages such as SQL or Python
• Familiarity with scripting languages such as Python or R for data manipulation
• A passion for education and using data to improve learning outcomes for students.

How They Work

• The organization aims to create a numeracy movement. This is no easy feat, and no one person can solve this alone. Given that, the organization has a transparent, collaborative, and open-to-feedback culture.
• As a result, work is often collaborative in nature:
• Team members support each other by creating a sense of community among the administrative team who meet monthly to share context and collectively solve problems to drive the organization’s velocity.
• Seek ways to improve broken systems and work with ELT to contribute thinking in both asynchronous and synchronous discussions.
• Maintain a scheduling board where cross-functional meeting requests are shared often.
• Shared guidelines are in place to help support team members when needed.

Location

This role is remote and can be performed in any of the following states/locations: CA, CT, FL, IL, LA, MA, MD, NC, NJ, NY, OH, OR, PA, TN, TX, VA, WA, WI and Washington D.C.

Compensation and Benefits

The compensation range for this role is $75,000 – $85,000 per year.

A competitive benefits package is offered, including comprehensive medical, dental and vision plans, short- and long-term disability, life insurance, 401K matching, parental leave, a generous Holiday policy and a flexible PTO policy. Also offered are a collegial and passionate culture and the potential to positively impact the lives of millions of children.

Note:

“We are not the EOR (Employer of Record) for this position. Our role in this specific opportunity is to connect outstanding candidates with a top-tier employer. Swooped helps candidates around the world to discover and stay focused on the jobs they want until they can complete a full application in the hiring company career page/ATS.”