Data Analyst
New
US locationsFull-TimeMiddle
Salary110000 - 130000 USD per year
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Job Details
- Experience
- 2-4 years of experience
- Required Skills
- SQLSnowflakeTableauAirflowdbtLooker
Requirements
- 2-4 years of experience in data and analytics roles
- Demonstrated ability to deliver high-impact analytics in fast-paced, high-growth environments
- Strong technical foundation in modern data stacks
- Skilled in experimentation, statistical analysis, and translating data into actionable business insights
- Excellent communicator who can distill complex data concepts for both technical and non-technical stakeholders
- Experience in e-commerce, healthtech, or consumer health (bonus)
- Strong SQL skills
- Experience with experimentation design, statistical analysis, and A/B testing
- Proficiency in visualization and BI platforms (Looker, Tableau, or similar)
- Proven ability to work cross-functionally
- Ability to take direction and translate business questions into analytical approaches
- Comfortable communicating results to both technical and non-technical audiences
- Growth mindset with curiosity, adaptability, and a drive for impact
- Passion for making data accessible and actionable across the organization
Responsibilities
- Contribute to the evolution of Seed’s analytics roadmap in alignment with company priorities
- Work cross-functionally with a small but growing team of analysts and analytics engineers
- Contribute to frameworks, standards, and best practices for reporting, modeling, and experimentation
- Partner with cross-functional partners to design analyses, reports, and dashboards that inform strategy and execution
- Build scalable pipelines and data models that support self-service analytics across teams
- Collaborate with stakeholders in designing and interpreting experiments to optimize growth and product outcomes
- Support and maintain processes for data quality, accuracy, and consistency across systems
- Collaborate with engineering on data architecture and performance
- Promote best practices in compliance, privacy, and ethical use of data
- Provide insights that optimize acquisition, retention, and customer experience
- Support science and product teams with data-driven approaches to study design and analysis
- Identify opportunities for innovation and efficiency through advanced analytics
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