Location: Remote - US based candidates only, no visa sponsorship available
Compensation: $170,000 – $185,000 annually
Responsibilities
- Own the lifecycle of your data domain, from raw data processing to ensuring product readiness
- Build systems that enhance data quality through validation frameworks and monitoring
- Design reusable methodologies that scale, reducing duplication across business units
- Set analytical and technical direction in collaboration with product managers and engineering teams
- Expand your domain by onboarding new datasets and improving integration patterns
- Redesign analytical processes with AI to enhance data handling and accuracy
- Mentor junior analysts and establish best practices as the team grows
- 6-8+ years of experience in data analytics, preferably in financial services, management consulting, data science, or high-growth tech
- Expert fluency in SQL and experience with Python or PySpark for building reliable analysis workflows
- Strong ability to learn complex data methodologies and develop mental models about data systems
- Experience leading complex projects with multiple stakeholders, focusing on alignment and delivery
- Skill in assessing the precision required for different decisions, avoiding over- or under-investing in rigor
- Capacity to analyze and reason about data bias and representativeness, going beyond averages
- Detail-oriented with experience working with messy, inconsistent datasets and evolving schemas
- Strong communication skills for articulating complex concepts and influencing cross-functional teams
- Flexible work hours and generous vacation policy
- 401K match and parental leave offerings
- Wellness budget and learning reimbursement for professional growth
- Culture focused on ownership, respect, and trust, empowering employees to develop skills and impact
- Company-sponsored team events and a focus on employee well-being





