Data Analyst - Remote

Overview

We’re seeking a product-focused analyst who will help the business find growth opportunities, explain performance, and support decision-making across Product and Marketing.

In Short

• Identify growth opportunities and business problems, quantify impact, and help prioritize what to build next.
• Own analytics projects end-to-end: requirements → implementation → rollout → stakeholder adoption.
• Build and expand KPI reporting: define missing metrics, create dashboards, and measure new feature impact.
• Build and maintain the analytics stack: connect data sources, manage ELT/pipelines, and develop dbt models/marts.
• Investigate metric drops/spikes, find root causes, and turn findings into actionable recommendations.
• Product & marketing analytics: analyze funnels, activation/retention, feature performance, plus acquisition channels, attribution, and campaign performance.
• Ensure data reliability by implementing tests, monitoring, and documentation.
• Support experimentation: partner with the Product team to design experiments, monitor results, and evaluate impact.

Requirements

• 3+ years in Product/Data Analytics, Analytics Engineering, or a similar role (ideally B2C/SaaS).
• Strong SQL and hands-on dbt (models, tests, docs).
• Python for analysis and automation.
• End-to-end data delivery skills: connect sources when needed, build production-ready pipelines, and design layered dbt models.
• Product analytics fundamentals: funnels, cohorts, retention/activation, segmentation, A/B testing basics.
• Ownership mindset: you can take ambiguous requests, define success metrics, deliver a solution, and drive decisions.
• Engineering mindset: Git, code reviews, clean code, testing, and documentation.
• Strong stakeholder communication: align stakeholders, explain complex topics simply, and write clear documentation.
• Experience with BI tools (Looker/Tableau/Power BI/Metabase or similar).

Benefits

• Work in a rapidly growing company.
• Opportunity to revolutionize the career-services industry.
• Supportive and inclusive work environment.
• Flexible work-from-home arrangements.
• Commitment to employee happiness and well-being.