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, Stockton , Staff Business Data Analyst, Professions , Mountain View, California
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