About the Role
As a Data Analyst, you'll work closely with stakeholders across the business to collect, analyze, and visualize data that drives strategy and operational improvements. You'll own the full analytics lifecycle - from pulling raw data to delivering actionable recommendations. This is a hybrid position offering flexibility alongside meaningful in-person collaboration.
Salary: $90,000 - $115,000 per year Work model: Hybrid Seniority: Mid-level (2-4 years experience) Employment type: Full-time
What You'll Do
- Collect, clean, and validate data from multiple internal and external sources
- Build and maintain dashboards and reports that track key business metrics
- Analyze trends, patterns, and anomalies to surface actionable insights
- Partner with product, marketing, operations, and finance teams to define KPIs and measure performance
- Design and run A/B tests and interpret results to guide product and business decisions
- Present findings clearly to both technical and non-technical audiences
- Improve data quality and documentation across the organization
What We're Looking For
- 2-4 years of experience in a data analyst or similar role
- Proficiency in SQL - you're comfortable writing complex queries from scratch
- Experience with a BI or visualization tool (Tableau, Looker, Power BI, or similar)
- Solid understanding of statistics and quantitative analysis
- Strong communication skills - you can translate numbers into a clear story
- Attention to detail and a structured, methodical approach to problem-solving
Nice to Have
- Experience with Python or R for data analysis
- Familiarity with dbt, Airflow, or other data pipeline tools
- Background in A/B testing and experimentation frameworks
- Experience with a cloud data warehouse (Snowflake, BigQuery, or Redshift)
What We Offer
- $90,000 - $115,000 base salary + performance bonus
- Health, dental, and vision insurance
- Hybrid work arrangement
- Professional development budget
- Collaborative, low-ego team culture
What we're looking for
- 2+ years of experience in a data analyst or similar role
- Proficiency in SQL - complex queries from scratch
- Experience with a BI or visualization tool (Tableau, Looker, Power BI, or similar)
- Solid understanding of statistics and quantitative analysis
- Strong communication skills - able to translate data into a clear story
- Attention to detail and structured approach to problem-solving
Nice to have
- Experience with Python or R for data analysis
- Familiarity with dbt, Airflow, or other data pipeline tools
- Background in A/B testing and experimentation frameworks
- Experience with a cloud data warehouse (Snowflake, BigQuery, or Redshift)
Benefits
- Competitive salary and performance bonus
- Health, dental, and vision insurance
- Flexible work arrangements
- Professional development budget
- Collaborative, low-ego team culture