Data Analyst

🕒 May 22

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The National Society of Leadership and Success (NSLS)

WebsiteLinkedInAll Job Openings

51 - 200 employees

📚 Education

🤝 Non-profit

🌍 Social Impact

Education • Non-profit • Social Impact

The National Society of Leadership and Success (NSLS) is a prestigious organization that focuses on helping students develop their leadership skills and achieve personal and professional success. Through a combination of training programs, networking opportunities, and access to a community of driven individuals, NSLS aims to empower members to realize their potential and enhance their careers.

📋 Description

• 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 • 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.

🎯 Requirements

• 2–3 years of experience as a Data Analyst, Analytics Engineer, or similar role • Strong SQL skills: You write clean, advanced SQL including CTEs, window functions, and optimized queries that others can read and maintain • dbt proficiency: You've worked with dbt in a production environment and understand modeling best practices • Visualization experience: You've built dashboards and reports in Hex, Looker, Tableau, or a comparable BI tool — and you know how to design for clarity, not just completeness • Stakeholder communication: You can bridge the gap between technical and non-technical audiences, explain your methodology, and present findings with confidence • Statistical fundamentals: You understand hypothesis testing, A/B test design, regression analysis, and confidence intervals, and can apply them correctly • Forecasting experience: You've built or contributed to forecasting models using cohort trends, maturity curves, or regression techniques • AI-assisted development: Proficient with AI tools to accelerate work, debug queries, and learn new technologies quickly.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities