Note: The job is a remote job and is open to candidates in USA. Instacart is a grocery technology company transforming grocery delivery and shopping experiences. The Senior Data Analyst will build financial data models, pipelines, dashboards, and reporting infrastructure while supporting revenue accounting, compliance, data integrity, process optimization, and AI-enabled analytics.
Responsibilities
- Bridge Data & Business Needs – Translate business requirements into scalable data models by asking the right questions, digging into details, and mining insights that create measurable impact
- Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables
- Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies
- Support Revenue Accounting – Build and maintain data products (dashboards, reports, analyses) that underpin the Revenue Accounting organization, including embedding revenue recognition logic into robust financial data models
- Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards
- Maintain Data Integrity – Implement validation, monitoring, and reconciliation frameworks to ensure accuracy, consistency, and reliability across financial datasets
- Drive Continuous Improvement – Proactively identify opportunities for process optimization, automation, and system enhancement, unlocking efficiency across Finance and Accounting
- Leverage AI & Next-Generation Analytics – Harness cutting-edge AI technologies (e.g., Claude, Cursor, Python ML libraries, Copilot) to reimagine how financial data is modeled, automated, and delivered—accelerating insights, scaling workflows, and shaping the future of financial analytics
Skills
- * Bachelor's degree in a related field
- * 5+ years of experience in data analytics or analytics engineering roles
- * Strong SQL and cloud data fundamentals, with hands-on experience in 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 (e.g., Oracle, Workday, Salesforce, Adaptive)
- * Strong communication skills with the ability to engage effectively across technical and non-technical teams
- 7+ preferred
Benefits
- Flex First work arrangement: employees can choose to work from home, an office, or a favorite coffee shop, with regular in-person events.
- This role may be performed remotely from any U.S. state except California, Connecticut, New Jersey, New York, and Washington.
- This role is eligible for a new hire equity grant as well as annual refresh grants.
Company Overview
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