BI/Data Analyst transforming yacht charter data into dashboards, forecasts, and recommendations for SEARADAR. Supporting marketing, operations, finance, experiments, and AI automation.
About the role
- Senior Data Analyst building trusted financial data models, pipelines, and reporting for Instacart’s grocery delivery business. Supporting Revenue Accounting, compliance, and cloud analytics.
Responsibilities
- Translate business requirements into scalable data models and identify actionable insights
- Own ambiguous data initiatives end-to-end with clear deliverables
- Design and automate dashboards, models, and reporting systems
- Build and maintain data products supporting Revenue Accounting, including revenue recognition logic in financial data models
- Apply compliance-first design principles to support SOX, audit readiness, and data governance
- Implement validation, monitoring, and reconciliation frameworks for financial datasets
- Identify opportunities for process optimization, automation, and system enhancement across Finance and Accounting
- Use AI technologies and Python ML libraries to improve financial data modeling, automation, workflows, and analytics
Requirements
- Bachelor’s degree in a related field
- 5+ years of experience in data analytics or analytics engineering roles
- Strong SQL and cloud data fundamentals
- Hands-on experience with Snowflake, dbt, and BI tools (Mode, Looker, Tableau, etc.)
- Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
- Familiarity with financial data structures, accounting processes, and enterprise systems such as Oracle, Workday, Salesforce, and Adaptive
- Strong communication skills with technical and non-technical teams
- Public company experience with exposure to SOX compliance
- Background in high-growth technology environments
- Experience implementing large-scale financial or operational systems
- Demonstrated ability to support Finance and Accounting teams with scalable data solutions
- Cloud cost management experience, ideally in an AWS environment
- Familiarity with AI/ML applications in data analytics
- Project management experience is a plus
Benefits
- New hire equity grant
- Annual refresh grants
- Flexible choice of work location (home, office, or coffee shop)
- Regular in-person events
- Market-competitive compensation and benefits
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