Data Analyst

The National Society of Leadership and Success 

Imagine a community of students taking action toward their dreams and living happier lives. In this world, people are so fulfilled they reach out and positively contribute to the lives of others. That’s who we impact, and that’s what we are building. Want to be a part of it?

To determine whether you'd be a good fit, ask yourself…

• Would you like to go to work each day knowing that you are using your talents to help others and better the world?
• Are you inspired by the thought of positively impacting tens of thousands of students each year?
• Are you ready to work in an organization that is rapidly growing and embraces change?
• Would you like to work with people whom you respect and can learn from every day?
• Do you desire to work for an organization that cares about your growth, where your own drive and interests help you create your own future?

Our guiding question is: “Are we helping the greatest number of people in the greatest possible way?" Are you inspired? Let’s change the world together.

Overview:
The Data Analyst will join a team of 80+ purpose-driven staff members in a friendly, focused, fast-paced entrepreneurial environment.  The National Society of Leadership and Success (NSLS) is the largest accredited leadership honor society in the United States, with over 800 chapters and more than 2 million members. The Data Analyst will join a team of 80+ purpose-driven staff members in a friendly, focused, fast-paced entrepreneurial environment. The National Society of Leadership and Success (NSLS) is the largest accredited leadership honor society in the United States, with over 800 chapters and more than 2 million members.

The Data Analyst will join a growing data team and partner closely with our stakeholders to translate business questions into actionable insights. You'll embed yourself in marketing, finance, and sales to understand how the business operates, identify the right metrics and dimensions, and build visualizations that help stakeholders make faster, smarter decisions. A key early focus will be supporting our Redshift-to-Snowflake migration — auditing legacy dashboards, QA-ing reports, and validating data accuracy in the new environment.

Responsibilities:

In Your First 6 Months

• Support the Snowflake migration: Audit and QA legacy Redshift dashboards and reports, validate logic against new dbt models, and help ensure a clean cutover
• Build business-facing dashboards: Develop intuitive, self-service reports in Hex that give marketing, finance, and sales teams the visibility they need
• Establish metric definitions: Partner with stakeholders to translate business language into well-defined metrics and dimensions, then document them for shared understanding
• Collaborate with the data team: Work in a sprint-based workflow with our Data Engineer, Analytics Engineer, BI & Automation Lead, and Head of Data

Ongoing Responsibilities

• Write and maintain SQL and dbt models: Develop clean, well-documented transformations that power gold-layer business reporting
• Embed with business teams: Proactively identify the questions being asked by marketing, finance, and sales — and bring data products to them before they have to ask
• Democratize data access: Build dashboards and self-service tooling that reduce ad hoc requests and empower stakeholders to find answers independently
• Tell stories through data: Communicate findings in a way that is clear, compelling, and actionable for both technical and non-technical audiences
• Run analyses and experiments: Design and interpret A/B tests, build forecasting models, and apply statistical methods (regression, cohort analysis, confidence intervals) to support business decisions
• Use AI to work smarter: Leverage AI tools (Claude, Copilot, Cursor, or similar) to accelerate analysis, automate repetitive tasks, and expand what's possible

Qualifications:

• 2–3 years of experience as a Data Analyst, Analytics Engineer, or similar role
• Strong SQL