Staff Technical Data Analyst - Finance

Intuit is seeking a seasoned data professional to join as a Staff Technical Data Analyst in Finance Analytics & Systems. The role centers on solving complex business challenges through data analytics, building end-to-end data solutions, and delivering leadership-ready insights that drive strategic decision making. This onsite position is based in Mountain View, California, and collaborates closely with FP&A teams to translate analytics needs into scalable data products.

Location: Mountain View, CA (onsite) | Salary: USD 166,000 - 232,500 per year

Overview

Intuit positions itself as a global technology platform that helps consumers and small to mid-market businesses overcome their most important financial challenges. As a Staff Technical Data Analyst for Finance, you will engage in creative problem solving, leveraging strong data and analytical skills to support company-wide analytics and strategic initiatives.

Responsibilities

• Partner with FP&A teams to understand analytics needs and deliver end-to-end data solutions.
• Collect and analyze data from diverse sources, including databases, spreadsheets, and external datasets.
• Develop and maintain data models and algorithms to support business decisions.
• Apply statistical techniques to identify trends, patterns, and anomalies.
• Collaborate with cross-functional teams to translate business requirements into data-driven solutions.
• Design and implement data collection systems to optimize data quality and efficiency.
• Provide recommendations to improve data collection and analysis processes.
• Stay current with industry trends and advancements in data analysis techniques and tools.
• Build subject-matter expertise and finance acumen to contextualize analytics for leadership.
• Narrate complex data stories concisely, highlighting insights and their impact on business outcomes for leaders and stakeholders.
• Manage multiple projects concurrently to meet objectives and deadlines.

Requirements

• 6+ years of experience in a data analytics role.
• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field, or equivalent work experience.
• Advanced data visualization tools (Qlik Sense preferred or equivalent); SQL skills for data manipulation, querying, and performance tuning; experience with Databricks and data integration.
• Familiarity with AWS services (Redshift, Athena); knowledge of Python and JavaScript is a plus.
• Strong communication and collaboration skills to effectively partner with colleagues across the business with varying technical expertise.
• Strong analytical and problem-solving abilities, with a focus on creating efficient, maintainable, and scalable data solutions.
• Proactive, inquisitive learner who seeks opportunities to enhance the business through data.
• Ability to thrive in a fast-paced, team-oriented environment.

Technologies

• Qlik Sense
• SQL
• Databricks
• AWS
• Redshift
• Athena
• Python
• JavaScript

Benefits

• Cash bonus
• Equity rewards