Senior Data Analyst

Instacart Instacart · Consumer · United States · Remote · Accounting & Finance

Instacart is seeking a Senior Data Analyst to shape financial data, driving innovation at the intersection of systems, analytics, and business strategy. The role involves architecting and delivering data models, pipelines, and reporting infrastructure for Finance and Accounting, ensuring data accuracy, reliability, and compliance. Responsibilities include collaborating across teams, accelerating month-end close, optimizing cloud spend, and leveraging AI technologies to enhance financial data modeling and delivery.

What you'd actually do

  1. 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.
  2. Own Data Initiatives End-to-End – Take ambiguous ideas and transform them into well-defined, high-impact projects with clear deliverables.
  3. Build Decision-Making Tools – Design and automate dashboards, models, and reporting systems that surface clear insights and guide long-term growth strategies.
  4. 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.
  5. Ensure Compliance & Governance – Apply compliance-first design principles to support SOX, audit readiness, and enforce data governance standards.

Skills

Required

  • SQL
  • Snowflake
  • dbt
  • BI tools (Mode, Looker, Tableau, etc.)
  • building and supporting complex data pipelines
  • financial data structures
  • accounting processes
  • enterprise systems (Oracle, Workday, Salesforce, Adaptive)
  • communication skills

Nice to have

  • Public company experience
  • SOX compliance
  • high-growth technology environments
  • implementing large-scale financial or operational systems (ERP, enterprise data platforms, etc.)
  • Project management
  • Cloud cost management (AWS)
  • AI/ML applications in data analytics (natural language SQL tools, forecasting models, anomaly detection frameworks)

What the JD emphasized

  • SOX compliance
  • compliance-first design principles
  • data governance standards
  • accuracy
  • reliability
  • traceability