Online Data Analyst

Position Overview

We are looking for a Data Analyst to spearhead our product analytics initiatives. In this role you will collaborate with our EPD team to develop analytical rigor, establish key metrics, and provide recommendations for product improvements. As an early team member, you will help define our metrics layer and consolidate our data into a single source of truth while navigating data modeling, dashboarding, and stakeholder management. This is a Part-time role with remote work opportunities.

Key Responsibilities

• Data Analysis: Collect, clean, and analyze data to extract meaningful insights and identify trends to inform business decisions, including the design and analysis of A/B tests.
• Reporting: Create dashboards and visualizations to drive better business outcomes, prioritize product development, and enhance operational efficiencies.
• Collaboration: Partner with Product, Marketing, GTM, and other cross-functional teams to standardize and report on key metrics while supporting ad-hoc reporting needs.
• Data Literacy: Develop resources to empower access to data and drive the adoption of self-service analytic capabilities.
• Data Leadership: Champion best practices in data modeling, analytics, and visualization as a subject matter expert.

Required Qualifications

• An analytical mindset with intellectual curiosity to search for context and insight behind the numbers.
• Ability to distill complex information into clear, actionable reports and communications.
• Thrives in ambiguity and can create structured solutions from unstructured problems.
• A trusted advisor and partner across all levels of the organization.
• Highly motivated with a commitment to excellence in both build and delivery.
• An eye for spotting opportunities, with the intuition to prioritize and the courage to execute.
• Possesses humility—recognizing that no work is too trivial if it’s impactful.
• Resilient and open to honest, constructive feedback.
• Self-aware and committed to learning from both successes and failures.
• Excellent proactive communication skills in both synchronous and asynchronous settings.
• Experience managing and building relationships across multiple departments and stakeholder levels.
• Alignment with our core values of connect, challenge, and own.

Preferred Qualifications

• Bonus: Experience working on the data engineering side of the house.

Benefits & Perks

• Compensation: $17.10 - $19.94 per hour
• 401(k)
• Dental insurance
• Health insurance
• Life insurance
• Paid time off
• Work from home