Instacart is seeking an analyst to shape the future of financial data, driving innovation at the intersection of systems, analytics, and business strategy. The role aims to architect and deliver data models, pipelines, and reporting infrastructure to empower Finance and Accounting with trusted insights at scale, while also advancing large-scale systems initiatives, accelerating month-end close, and optimizing cloud spend.
Requirements
- Strong SQL and cloud data fundamentals, with hands-on experience in Snowflake, dbt, and BI tools (Looker, Tableau, Power BI)
- Experience building and supporting complex data pipelines with emphasis on accuracy, compliance, and traceability
- Familiarity with financial data structures, accounting processes, and enterprise systems (e.g., Oracle, Workday, Salesforce, Adaptive)
- Public company experience with exposure to SOX compliance
- Experience implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
- Cloud cost management experience, ideally in an AWS environment
- Familiarity with AI/ML applications in data analytics (e.g., natural language SQL tools, forecasting models, anomaly detection frameworks)
Responsibilities
- Architect and deliver data models, pipelines, and reporting infrastructure that empower Finance and Accounting with trusted insights at scale.
- Collaborate across technical and business teams to ensure financial data is accurate, reliable, and compliant.
- Advance large-scale systems initiatives, accelerating the month-end close, and optimizing cloud spend in our AWS environment.
- Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact.
- Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
- Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models.
- Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets.
Other
- Bachelor’s degree in a related field
- 5+ years (7+ preferred) of experience in analytics, analytics engineering, or financial systems/data roles
- Strong communication skills with the ability to engage effectively across technical and non-technical teams
- Background in high-growth technology environments
- Project management experience a plus
