Data Analyst
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Role details
Tech stack
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Job description
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.
What You’ll Do
- 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
Requirements
Do you have experience in Technical Proficiency?, Do you have a Bachelor’s degree?, * 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
Benefits & conditions
Pulled from the full job description
- 401(k) matching
- Paid time off
- Vision insurance
- Dental insurance, * 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
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