Data Analyst
The National Society of Leadership and Success (NSLS)
full-time
Posted on:
Location Type: Remote
Location: United States
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Tech Stack
About the role
- 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
- Work-life balance: Standard business hours (9-5 or similar), no on-call or off-hours expectations
- AI-assisted development: We actively encourage the use of AI tools to write better analyses faster and increase overall team velocity
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdbtA/B testingregression analysiscohort analysisforecasting modelsdata visualizationdata transformationstatistical methodsCTEs
Soft Skills
stakeholder communicationstorytelling through datacollaborationproblem-solvingadaptabilitypresentation skillscritical thinkingindependencemethodology explanationproactive identification