Data Analyst

About the Role

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

• 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

• 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