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Staff Business Data Analyst
Staff Business Data Analyst-March 2024
Mountain View
Mar 7, 2026
ABOUT INTUIT
Intuit is the global financial technology platform that powers prosperity for the people and communities we serve with TurboTax, Credit Karma, QuickBooks, and Mailchimp.
10,000+ employees
Consumer Goods & Services, Financial Services
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About Staff Business Data Analyst

  Overview

  Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune’s “100 Best Companies To Work For†and Fortune World’s “Most Admired Software Companies†lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.

  Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market â€" from QuickBooks®, Quicken®, and TurboTax®, to GoPayment, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.

  Discover what it’s like to be part of a team that rewards taking risks and trying new things. It’s time to love what you do! Check out all of our career opportunities at: http://jobs.intuit.com/. Intuit is an Equal Opportunity Employer.

  What you'll bring

  6+ years of experience working with service operations, e-commerce marketplace analytics, customer care analytics, or product analyticsExperience influencing at senior leadership levels, and driving cross-function teamsAdvanced proficiency in SQL, A/B Testing, and Data VisualizationExperience in defining metrics and instrumenting data trackingExperience in programming languages and stats packages (e.g. Python, R); experience in developing and deploying machine learning models is a plus!Ability to simplify stories with data, and be concise in the insights and how they drive outcomes with leadership and stakeholdersExcellent problem-solving skills and end-to-end quantitative thinkingAbility to manage multiple projects simultaneously to meet objectives and key deadlinesOutstanding communications skills with both technical and non-technical colleaguesProactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstancesStrong organization, time management and task prioritization skillsBachelor's Degree in Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, or related field. Master's Degree preferred

  How you will lead

  Driving business strategy: You will collaborate with business partners and design to ensure reporting solutions are scalable, repeatable, effective, and meet expectations of various stakeholders and leaders. In addition, provide ongoing recommendations to leadership utilizing complex data, business knowledge, and strategic assumptions when data doesn't exist.Identifying opportunities and influence partners to act: You will partner with a cross-functional team to develop hypotheses and experiments to leverage data and technology to deliver better outcomes for our experts . You will collaborate with stakeholders to ensure analytical solutions are scalable, repeatable, effective, and meet expectations of various stakeholders. You will provide guidance and thought partnership to business leaders and stakeholders on how best to harness available data in support of critical business needs and goals and leverage operational acumen to develop data-backed insights from complex data sources and make strategic business decisions for unique business problemsDriving self-serve and data literacy: You will create measurement plans for measuring our expert performance, defining requirements for instrumentation and data collection. You will build reports to drive discussions, facilitate decision making, and actionable insights by partnering with data engineering to scale and automate analytics on new products and initiatives.

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