Senior Data Analyst

Summary

Join our growing Data team as a Senior Product Analyst and drive data-informed decision-making. Partner with cross-functional stakeholders to surface insights, improve business performance, and enable scalable analytics. Uncover opportunities, design KPIs, and influence product and strategy decisions. This remote position reports to the Sr. Manager of Data Analytics and requires strong analytical thinking, technical skills, and business acumen. We offer a supportive and collaborative remote work environment with various benefits. Help us enable anyone to start, run, and grow their business while avoiding common pitfalls.

Requirements

• 5+ years in product analytics, business intelligence, or data roles in high-growth tech environments
• Bachelor’s degree in Business, Economics, Statistics, Finance, Computer Science, or a related field
• Expertise in SQL, Tableau, and Snowflake
• Familiarity with experimentation design and analysis (A/B testing)
• Strong analytical and problem-solving skills with the ability to translate data into meaningful business insights
• Experience automating reporting processes
• Excellent communication and collaboration skills, with the ability to present insights clearly to stakeholders
• Ability to thrive in a fast-paced, evolving business environment

Responsibilities

• Collaborate with Product Managers and cross-functional teams to analyze user behavior, experiment outcomes, and product performance
• Translate complex data into clear, actionable insights that inform product roadmaps and feature prioritization
• Build dashboards and reports in Tableau to support product, marketing, and finance leaders
• Conduct exploratory analysis, funnel analysis, segmentation, and cohort tracking to drive engagement and retention strategies
• Define and track key performance indicators (KPIs) across product and business domains
• Partner with stakeholders to ensure metrics are clearly understood, consistently calculated, and tied to company goals
• Identify trends, diagnose anomalies, and recommend course corrections in collaboration with business owners
• Expertise in SQL to query, analyze, and transform data efficiently
• Strong understanding of semantic layers to enable scalable, self-serve analytics across the company
• Proficiency in Snowflake for data warehousing and advanced analytics
• Advanced Tableau skills for building interactive dashboards and data visualizations
• Conduct data modeling and predictive analytics to support business initiatives
• Develop a foundational understanding of Python for analytics projects that require deeper data science techniques
• Navigate GitHub to review key tables created by Engineering
• Document insights and collaborate effectively using Confluence

Preferred Qualifications

• MacOS and G-Workspace knowledge is a plus
• Experience with dbt is a plus, particularly for financial data transformation and modeling
• Experience working with B2B SaaS or marketplace platforms
• Python knowledge for advanced analytics or modeling

Benefits

• Medical, vision, dental, disability, and life insurance
• Parental and military leave
• Employee assistance program
• 401k + match
• Annual bonus
• Pet insurance
• RSUs
• Paid parking
• 10 paid holidays