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Staff Business Data Analyst

Category Data Location Mountain View, California Job ID 2024-66494
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Company Overview

Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.

Job Overview

Intuit is currently seeking a passionate and data-driven individual to join the Intuit Business Operations Analytics team. As a Staff Business Data Analyst, you will play a crucial role in transforming our organization through the power of data. The successful candidate will be responsible for identifying and driving initiatives in company-level operations and planning.

In this position, you will develop a deep understanding of business challenges, performing company-level analyses to enable effective decision-making and problem-solving. This role presents a unique combination of business operations and data analytics, requiring someone who is highly analytical, strategic, an excellent communicator, and comfortable with ambiguity.

We are looking for a strategic problem-solver with a track record of implementing company-level changes to improve operations. The ideal candidate can independently manage their own data, identify and measure business and growth drivers, collect data from various sources to identify opportunities for improvement, and provide insights to a broader audience.

Responsibilities

  • Analyze data from various sources to identify trends, provide insights, and support decision-making.
  • Develop and track key metrics and KPIs to monitor business performance and contribute to a data-driven culture.
  • Create and implement data-driven strategies and operational processes to optimize business growth and efficiency.
  • Proactively identify and address business challenges using data analysis and strategic problem-solving.
  • Independently manage workload and pursue opportunities for improvement.

Qualifications

  • Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or a related quantitative field, or equivalent work experience.
  • 6+ years of combined post-graduate academic and industry experience applying quantitative and scientific methods to solve real-world business problems.
  • Advanced experience in statistical analysis, test design, and experimentation.
  • Proven ability to analyze large, complex datasets.
  • Proficiency in SQL, data visualization tools (Qlik, Tableau, QuickSight), and scripting languages (Python, R).
  • Strong data storytelling skills, with the ability to construct impactful visualizations, communicate insights, and influence leadership.
  • A proactive and results-oriented individual who thrives in a fast-paced environment and is comfortable with ambiguity.
  • Excellent communication and presentation skills with the ability to translate complex data into actionable insights for various audiences.
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