Senior Technical Data Analyst – Finance Technology

The Intuit FLP (Finance, Legal, and Privacy) Tech team builds Intuit's core capabilities across enterprise finance, legal, and privacy applications. Within FLP Tech, the Finance Data & Analytics team is the trusted source of truth for how Intuit's Finance organization sees its own business — from month-end close and SOX-certified financial reporting to workforce, revenue, and expense analytics used across the company.

Finance data at Intuit is in the midst of a rapid shift toward AI-assisted and agentic approaches to financial reporting, controls testing, and business intelligence. We are hiring a Staff Technical Data Analyst to help lead this shift.

This is not a report‑writing role. You will own report and dashboard architecture and strategy across a large, SOX-sensitive portfolio spanning Revenue, Expense, Workforce, and Compliance reporting, partnering directly with Finance, SOX/Internal Audit, and Data Engineering to make sure that portfolio is accurate, governed, and audit‑ready — while also pushing it forward: consolidating redundant reporting, modernizing the underlying data architecture, and identifying where GenAI and agentic tooling can remove manual effort from financial control work rather than just producing more dashboards.

You are accountable for the outcome, not just the artifact. If a report is technically correct but doesn't survive an audit walkthrough, or a dashboard ships but nobody adopts it, that is your problem to solve.

• Report & Dashboard Portfolio Ownership:
  Own the architecture, roadmap, and health of a large-scale reporting portfolio (SOX and non-SOX) spanning multiple Finance domains. Maintain a single, authoritative view of what exists, who owns it, and where consolidation or retirement opportunities exist, and drive that consolidation rather than letting the portfolio grow indefinitely.

• SOX Control Design & Compliance Reporting:
  Design and maintain the data validation and control frameworks that keep SOX-certified financial reporting accurate, traceable, and audit‑ready. Partner directly with Internal Audit and external auditors on control design, evidence, and walkthroughs, and build the automated validation and lineage tooling that lets the business scale compliance without scaling headcount.

• Data Architecture & Migration:
  Lead the technical design and execution of large-scale data migrations, including legacy BI platform to governed cloud data lake/warehouse migrations, catalog and access‑control modernization, and the report‑logic migrations that follow. Ensure every migration preserves data lineage, auditability, and business continuity.
• Data Discovery for New Engagements:
  Partner with product managers, data engineers, and AI/data scientists at the start of new product and AI initiatives to explore, analyze, and profile the underlying data first, understanding what data exists, its quality, and any gaps, before it's used to build models, products, or pipelines.

• Data Asset Management & Governance:
  
  Manage financial and business data as a governed asset across its lifecycle: data quality monitoring, access governance, metadata and lineage, and alignment with Intuit's data compliance standards. Prepare and maintain clean, well‑documented data for both traditional BI consumption and AI/ML pipelines.

• AI‑Driven Innovation in Finance Reporting:
  Identify and pilot where GenAI and agentic approaches can modernize SOX testing, financial reporting, and BI: automated control testing and anomaly detection, natural‑language and narrative‑driven reporting, AI‑assisted data quality and lineage tooling, and prompt‑to‑SQL or self‑service analytics for business users. Bring a critical eye for where AI creates real leverage in a regulated environment and…