Data Analyst

About the Role:

The Data Analyst II contributes meaningfully to data-driven decision-making by delivering analyses and insights that inform business and product decisions. This role combines growing analytical capabilities with increasing autonomy, managing projects independently while collaborating across teams to solve business problems.

Responsibilities:

Analysis & Insights

• Conduct medium- to high-complexity analyses with minimal guidance, delivering actionable insights to stakeholders.
• Own individual analytical projects from scoping through delivery, managing timelines and expectations.
• Build and maintain dashboards and reports that enable teams to track key metrics and make informed decisions.
• Contribute to the development of analytical frameworks and metrics definitions.
• Translate business questions into structured analytical approaches and clearly communicate findings.

Collaboration & Growth

• Partner with cross-functional teams including product, operations, and business stakeholders to understand needs and deliver insights.
• Communicate analysis results clearly to both technical and non-technical audiences.
• Actively participate in team discussions, bringing forward multiple approaches to problems and weighing tradeoffs.
• Apply feedback to continuously improve analytical work and articulate areas for personal growth.
• Begin mentoring junior analysts on specific tasks, tools, and analytical techniques.

Quality & Standards

• Follow and actively reinforce team standards for analysis, documentation, and data quality.
• Identify and raise friction points in processes or data, suggesting simple improvements.
• Show resilience by adjusting approach when analyses don't go as planned.
• Contribute to team knowledge sharing by documenting learnings and best practices.

Qualifications:

Experience & Education

• Bachelor's degree in Computer Science, Data Science, related field, or equivalent experience.
• 3+ years of professional experience in data analysis, business intelligence, or related analytical roles.
• Demonstrated track record of increased responsibilities and impact in analytical work.

Technical Skills

• Strong proficiency in SQL for data extraction and analysis.
• Experience with Looker or similar BI tools for dashboard development and data visualization.
• Working knowledge of Python or similar tools for data analysis and automation.
• Understanding of statistical concepts and their application to business problems.
• Familiarity with data modeling concepts and modern data warehouses (BigQuery, Snowflake, Redshift, or similar).

Analytical & Soft Skills

• Strong problem-solving abilities with attention to detail and analytical rigor.
• Ability to manage multiple projects with growing autonomy and prioritize effectively.
• Clear communication skills, translating data findings into business insights.
• Curiosity and willingness to learn new tools, techniques, and business domains.
• Collaborative mindset with openness to feedback and coaching.

Benefits:

• Medical, Dental, and Vision Coverage
• 401(k) Retirement Plan
• Remote-First Company with the option to work at our New York City office
• Equity Incentive Plan
• Annual Company-Wide Bonus (up to 15%)
• Flexible Vacation Policy
• Summer Fridays - 5 Fridays Off During Summer (Separate From PTO)
• Monthly Internet Stipend
• Annual Home Office Stipend
• Co-Working Space Reimbursement
• Annual stipend for education and development

Base Salary Band (based on experience and level):

Data Analyst II: $90,000 - $130,000