Intuit's Global Business Solutions Group (GBSG) is looking to rethink how to power prosperity for small businesses and individuals by improving user growth and retention through product insights and marketing channel optimization. The Data Analytics & Science team aims to drive these improvements using advanced analytics and modeling.
Requirements
- Proficient in one of the following analytics tools, such as Python and R.
- Efficient in SQL, Hive, SparkSQL, etc.
- Good understanding of customer life cycle and lifetime revenue.
- Deep understanding of statistical modeling and marketing measurement, and a track record of solving problems with these methods.
- Confident with machine learning techniques and sophisticated analytics (e.g. regression, classification, clustering, time series, econometrics, mathematical optimization).
Responsibilities
- Develop predictive models to apply on QuickBooks marketing site and in product to personalize experience for potential and existing customers, driving better acquisition and retention.
- Create solutions to evaluate ROI for new pricing and strategy initiatives.
- Lead analytics for big campaigns/initiatives/tests measurements.
- Work cross functionally with marketing, sales, finance, other analytics and engineering teams to drive measurement and optimization of growth marketing efforts.
Other
- Must have good judgment with the ability to think creatively and strategically.
- Communicate results and share actionable insights clearly, concisely and confidently to the broad team and leadership.
- Excellent communication skills and ability to learn fast, and confidence in taking ownership.
- MS/PhD in quantitative fields such as Business, Math, Statistics, Finance, Economics, Operations Research or a related field with 3+ years working experience in an analytics related role.
