Data Analyst

We are looking for a sharp, curious, and driven Analyst to join our team. In this role, you will sit at the intersection of data, finance, and business strategy — turning complex information into clear insights that drive decision-making across the organization. Whether your background leans quantitative, financial, or operational, we want someone who is energized by solving problems and communicating findings with impact.

• Collect, clean, and analyze large datasets from multiple sources to surface trends, anomalies, and opportunities
• Build and maintain dashboards, reports, and visualizations that give stakeholders real-time visibility into key metrics
• Support financial planning, forecasting, and budgeting cycles with accurate, well-documented models
• Partner with business units to understand goals, translate them into analytical frameworks, and deliver actionable recommendations
• Evaluate business performance against targets and help identify levers for improvement
• Present findings clearly to both technical and non-technical audiences, including leadership
• Identify process inefficiencies and propose data-driven solutions
• Contribute to ad hoc analyses and special projects as business needs evolve

Required

• Bachelor's degree in Finance, Economics, Statistics, Mathematics, Computer Science, or a related field
• 2–5 years of experience in a data, finance, or business analysis role
• Proficiency in SQL for querying and manipulating data
• Strong command of Excel and/or Google Sheets, including pivot tables, complex formulas, and financial modeling
• Experience with at least one BI or visualization tool (Tableau, Power BI, Looker, or similar)
• Solid analytical thinking with the ability to break down ambiguous problems
• Excellent written and verbal communication skills — you can tell a clear story with data

Preferred

• Experience with Python or R for data analysis and automation
• Familiarity with financial statements (P&L, balance sheet, cash flow)
• Background in statistical modeling, forecasting, or A/B testing
• Experience in a fast-paced, high-growth, or cross-functional environment
• Exposure to dbt, Snowflake, Redshift, or similar modern data stack tools

• Competitive salary commensurate with experience
• Comprehensive health, dental, and vision benefits
• Flexible work arrangements and generous PTO
• 401(k) with employer match
• A collaborative, intellectually curious team that values your contributions
• Professional development budget and support for continued learning