Intuit QuickBooks has a unique opportunity to lead the industry in shifting B2B transactions from checks to digital payments and in doing so to unlock tremendous growth potential for small businesses. Today, 70% of B2B volume is still paid via paper check, which leads to several challenges for small businesses including cash flow shortages, organizational complexity, and high administrative costs. In solving this problem better and more rapidly than anyone in the industry, Intuit has the potential to establish a strong network effect, and to become the top choice for small businesses when it comes to B2B payments.
This opportunity on the Quickbooks Money data science and analytics team is to define how we use analytics to transform customer experiences, develop and scale new products, and help assess product-market fit. We are looking for someone who is data-driven with excellent analytical skills and product analytics experience, to partner with our product and marketing teams and drive profitable growth and active use of our capital business. As a key member of the team, you will have a strong track record of combining technical skills, an understanding of product analytics, and exceptional problem-solving acumen.
5-8 years of experience working in product, customer, or other related analytics fields
Highly proficient in A/B testing, SQL, Tableau, and at least one scripting language (R/Python)
Ability to tell stories with data, educates effectively, and instills confidence in recommendations, motivating others to act on them
Strong analytical and problem-solving skills: able to develop and use structured approaches to identify root causes and recommend resolutions: can present results in meaningful terms
Ability to manage multiple projects simultaneously to meet objectives and deadlines
Outstanding communications skills with both technical and non-technical colleagues
Strong organizational skills, time management, portfolio prioritization experience, and accountability required
Bachelor’s degree in Business, Engineering, Math, Statistics, Finance, Economics, or a related field, or equivalent work experience. MBA or graduate degree in a related field a plus