Senior Data Analyst, Financial Data

October 9

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Instacart

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eCommerce • Transport • Retail

Instacart is a company that offers a flexible approach to work while transforming the grocery industry. It provides an essential service by delivering groceries and household goods to customers' doors in as little as 30 minutes. Instacart offers safe and flexible earning opportunities to personal shoppers and tackles challenges such as rerouting deliveries during snowstorms and connecting customers with coupons and deals. It aims to be the operating system for the grocery industry, thus helping customers save time for other activities. Instacart emphasizes diversity, equity, and belonging in its work culture.

1001 - 5000 employees

Founded 2012

🛍️ eCommerce

🚗 Transport

🛒 Retail

💰 $232M Venture Round on 2021-11

📋 Description

• 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/ML technologies (e.g., Snowflake Cortex, Mode AI, 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.

🎯 Requirements

• Bachelor’s degree in a related field • 5+ years (7+ preferred) of experience in analytics, analytics engineering, or financial systems/data roles • 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) • Strong communication skills with the ability to engage effectively across technical and non-technical teams.

🏖️ Benefits

• competitive salary • bonus eligible • equity grant • flexible work arrangements