Staff Business Data Analyst

Company: Intuit
Location: Mountain View
Posted on: May 24, 2025

Job Description:

Come join Intuit as a Staff Business Data Analyst on the Finance Data Science and Strategy team. We are looking for creative problem solvers with a passion for delivering data-driven insights. This position works alongside finance, strategy, product management, marketing, and data engineering to deliver business results using data for insights and optimization.Responsibilities

• Explore and educate stakeholders on new business growth opportunities, unit economics, product migration, cross-selling, product growth levers, price/spend optimization, etc.
• Perform end-to-end analytics using advanced SQL to extract business value and insights
• Leverage product and revenue data to inform decisions while clearly articulating key assumptions
• Disseminate business insights to cross-functional stakeholders and influence decision-making
• Define key metrics and educate partners on how to use them to view the business
• Develop and automate advanced analyses and calculations on LTV and CAC
  • 6+ years relevant experience with a proven track record of leveraging analytics to drive significant business impact
  • Advanced SQL skills to get the data you need from a data warehouse (e.g., Redshift, Hive, SparkSQL, Athena) and perform data segmentation and aggregation from scratch
  • Understanding of statistics with regards to experimentation and regression
  • Passion for uncovering strategic opportunities and solving business problems
  • Proficiency in visualization tools such as Tableau or Qlik Sense
  • Excellent presentation and data storytelling. Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
  • Experience with modern advanced analytical tools and programming languages such as Python, R, or some other scripting language
  • Degree in STEM or equivalent experience required, Masters/MBA preferred.Preferred Additional Experience:
    • High-level understanding of advanced statistical modeling techniques such as clustering, classification, regression, decision trees, random forest. Building such models is not a focus of this particular role. Comfort with these tools and concepts will be useful to solve particular problems or evaluate the performance of pre-built models
    • Understanding forecasting processes, financial reporting, time value of money, and other financial concepts
    • Excitement for small businesses and helping to solve the challenges they face
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Keywords: Intuit, Davis , Staff Business Data Analyst, Professions , Mountain View, California