Overview

Intuit’s Small Business Group (SBG), a global team serving the needs of over 2 million small businesses and self-employed. We are rethinking how to power prosperity around the world. This means dramatically rethinking how we can enable small businesses and individuals to run their businesses with confidence, and save time by using both our cloud solutions and our app partners.The Data Analytics & Science team drives user growth and retention using product insights and marketing channel optimization for the Small Business Group. We are an exciting, growing and fun team that works with industry- leading analytics tools, techniques and best practices.As an Analyst for Marketing Science team, you will work on creating capabilities to help marketing team to uncover actionable insights and make recommendations that will influence the company’s strategic decisions. This position works alongside digital and web analytics team, marketers, and finance team to deliver business results and grow our customer base

What you'll bring

• Advanced degree in Statistics, Economics, Business, or related quantitative field
• 0-2 years of experience during coursework or as a data scientist in formal setting
• Confident with machine learning techniques and sophisticated analytics (e.g. regression, classification, clustering, time series, econometrics, mathematical optimization)
• Skilled in SQL and Python. Experience running complex analytics in a scripting language
• You demonstrate intellectual curiosity, and a knack for translating information into impactful insights
• Bonus: experience using R and other languages
• Experience with preparing large data sets for analysis

How you will lead

• Plan and execute cutting-edge machine learning or deep learning research applied to marketing measurement, audience segmentation and targeting
• Develop new algorithms and models that will be tested and should achieve state-of-the-art accuracy
• Communicate the experimental results clearly, both within the group as well as to the broader team
• Assist with the development and deployment of analytical tools and develop custom models, uncover insights in the data and automate analyses
• Participate in code reviews and software development standard methodologies
• Communicate analytical findings and recommendations in a clear and concise way to non-technical audiences, both in oral and written presentations