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  • Senior Credit Risk Analyst - QuickBooks Capital

    Intuit (Mountain View, CA)



    Apply Now

    Overview

     

    One 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 talent that love new challenges, cracking tough

     

    problems and working cross-functionally. If you are looking to join a fast-paced,

     

    innovative and incredibly fun team, then we encourage you to apply.

    Responsibilities

    A Senior Business Data Analyst plays a pivotal role in driving business growth by

     

    leveraging data-driven insights and fostering cross-functional collaboration. Key

    responsibilities include:

    • Design and Develop Reporting Suites and Datamarts:

    • Take ownership of creating and maintaining a comprehensive reporting

     

    suite tailored to the monitoring needs of the credit business. Translate

     

    complex business requirements into scalable technical solutions that

     

    balance strategic thinking and technical expertise.

     

    • Build centralized datamarts that can serve as the foundation for can be

    used to scale up reporting capabilities as the business grows

    • Business Trend Analysis and Insights Delivery:

     

    Continuously track, analyze, and interpret business trends and key performance

     

    metrics. Conduct deep dives into data anomalies and deliver actionable insights

     

    and recommendations to stakeholders through clear and concise

     

    communication.

     

    • Collaborative Product Design and Leadership:

     

    Spearhead cross-functional collaboration with product development, product

     

    management, marketing, data engineering, compliance, underwriting, and other

     

    teams. Apply an end-to-end approach to design effective and customer-centric

     

    products and solutions.

     

    • Identify and Execute Growth Opportunities Across the Customer Lifecycle:

     

    Proactively pinpoint opportunities for improvement across all customer

     

    touchpoints, extending beyond credit risk. Take full ownership from concept

     

    development to execution, ensuring measurable impacts on business outcomes.

     

    • Leverage Big Data for Advanced Insights:

     

    Harness the power of big data technologies to analyze large-scale transactional

     

    data, transforming complex insights into actionable strategies that drive credit

     

    risk optimization and overall business growth.

    Qualifications

    BS/MS in a quantitative field such as Statistics, Operations Research,

     

    Business/Finance, Economics, etc, with 4+ years of professional experience in an

     

    analytics-related role; lending or fintech experience is strongly preferred.

     

    • Proven track record of extracting actionable business insights from data using

     

    both quantitative and qualitative approaches.

     

    • Experience in any major dialect of SQL (we use HiveQL)

    • Strong Python skills with experience in Pandas. PySpark is a big plus.

    • Familiarity with big data technologies such as Hive, Spark, and related

     

    frameworks.

     

    • Experience with building complex dashboards using common BI tools such as

    Tableau, Qliksense, etc

    • Excellent communication skills: demonstrated ability to explain complex

    technical issues to both technical and non-technical audiences

    • Strong passion for data analysis backed by solid analytical thinking skills, with a

     

    proactive approach to identifying business opportunities and driving innovation

     

    in the lending industry.

     

    • Ability to learn fast and thrive in a fast-paced, results-driven environment.

    • Meticulous attention to detail

    • Great team player

     

    Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits (https://www.intuit.com/careers/benefits/full-time-employees/) ). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is:

     

    EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

     


    Apply Now



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