Data Analyst

📋 Description

• The Data Analyst will serve as a trusted analytics partner across multiple business functions
• Partner with Marketing, Sales, Finance, Product, People, and Operations teams to understand
• Own the full analytics lifecycle: clarify questions, select datasets, analyze, deliver insights
• Develop deep knowledge of the business domain and document metric definitions, assumptions
• Build and maintain analytics assets: data models, dashboards, reports, and reusable datasets for
• Leverage AI-powered analytics tools to improve productivity while validating outputs and improving

🎯 Requirements

• 3+ years in an analytics-focused role (Data Analyst, BI Analyst, Business Analyst, Analytics
• Proven analytics partner experience with Marketing, Sales, Finance, Product, or Operations.
• Strong SQL skills and experience with data warehouses to answer complex questions.
• Experience building datasets, dashboards, and reporting for non-technical users.
• Comfortable with Git, version control, branches, PRs, and code reviews.
• Ability to investigate data discrepancies and communicate findings clearly.

🎁 Benefits

• Competitive equity package in a fast-growing tech company backed by leading investors.
• Extended 10-year exercise window for vested equity options.
• Fully remote and flexible work environment.
• 4–5 weeks of annual time off for well-being.
• $2,000 USD workspace setup allowance.
• $1,000 USD annual learning and development stipend.