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Staff Business Data Analysis

Company: Intuit
Location: Mountain View
Posted on: November 21, 2020

Job Description:

OverviewOne out of every two small businesses fails within their first five years, most-often due to running out of cash. QuickBooks Capital is on a mission to make-a dent in that statistic, by providing small businesses access to the capital-they need when they need it, leveraging the data inside QuickBooks for faster-and better decisioning. This way, our customers never again have to worry-about not making payroll or saying no to a business opportunity. That's how-we power prosperity.QuickBooks Capital is a nimble and high-priority start-up within Intuit that is-looking to reinvent small business borrowing. We are the fastest growing SMB-lending business in the market. We are looking for top talents and team-members that love new challenges, cracking tough problems, working cross-functionally and with great passion for innovations. If you are looking to join a-fast-paced, innovative and incredibly fun team, then we encourage you to-apply.This new role will focus on driving a great data foundation for our lending-products.-If you are a risk/lending expert, you will have a great opportunity to-use all the cutting-edge data technologies and apply your domain knowledge-to build data and machine learning driven products. If you are a data expert,-you will get an exciting opportunity in an innovative industry which combines-finance and high-tech. We are building the world-leading financial products for-our customers.What you'll bring

  • MS/PhD in related fields such as Statistics, Operational Research,-Industry Engineering, Computer Science etc. Or bachelor's degree in-same fields with 8+ years equivalent practical experience
  • 6+ years working experience in related data development or analytics-roles.
  • Have a track record of related work experience in data exploration and-data pipeline development works under defined business scope and large-scale transactional datasets.
  • Proficient in data query, data processing and analytics tools (i.e.SQL/Hive/Hadoop/Tableau)
  • Knowledgeable with data tools and frameworks (i.e. Python, R, Spark).
  • Basic knowledge of machine learning techniques (i.e. classification,-regression, and clustering).
  • Familiar with engineering fundamentals: version control systems (i.e. Git,-Github) and workflows, and ability to write production-ready code.
  • Detail oriented and with great vision on how to develop data-drivenproducts.
  • Excellent communication skills and ability to learn fast, and confidence in-taking ownership
  • Able to work in a fast-paced environmentHow you will lead
    • Use big data technology and cloud-based databases (e.g. S3, EMR and-SageMaker in AWS, Spark) to mine massive scale transactional data to credit-risk analyses and model development and translate those into actionable-business opportunities.
    • Develop solutions to improve data quality and usability, provide analysis on-different level of data aggregations, and be decision maker with risk expertise on-data structure, features and models generation process
    • Evaluate all the possible data sources by exploring different products in the-QuickBooks ecosystem.
    • Plan and design together with data scientists and dataengineers on our data architecture, pipeline and features.
    • Be a great thought leader to ensure all the business needs are met and all corner-cases are evaluated and checked in our data ETL process.
    • -
    • Partner with our credit strategists to design new lending products, develop automation driven underwriting policies, and drive more efficient acquisitions.
    • Explore new technology shifts in order to determine how they might connect with-the customer benefits we wish to deliver.
    • Build great ownership and leadership by working collaboratively with businesspartners (product development, product management, marketing, data-engineering, compliance, underwriting team etc.) to design new products to-increase our market shares.

Keywords: Intuit, Mountain View , Staff Business Data Analysis, Other , Mountain View, California

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