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Senior Data Scientist, Business Analytics

Company: Intuit
Location: Mountain View
Posted on: July 15, 2019

Job Description:

Senior Data Scientist, Business Analytics Overview The Senior Data Scientist - Technical for Quickbooks Self-Employed will join a team leading development of products to serve the needs of self-employed workers (the largest and fastest-growing segment of the US workforce). Data is central to Intuit's decision-making process, and analysts are a critical component to evangelize data-driven decision making in our Quickbooks organization. This role will be primarily responsible for shaping the way we measure and improve product design and scaling analytics methods and tools to support our customer experiences. You will lead the way for high quality, high velocity decisions and play a critical role in shaping how we measure the performance of our product and our business. Responsibilities Be an analytical thought partners to the business, using data to influence the future direction of the business Interface with engineers, product managers and product analysts to understand data needs Build data expertise and own data quality for allocated areas of ownership Manage data warehouse plans for Quickbooks Self-Employed Design, build and launch new data extraction, transformation and loading processes Partner with product analysts and engineers to understand the product roadmap and institute tracking for new features Maintain a culture of high-quality output and continuous innovation Champion data-driven decision-making in your team and throughout the company, including coaching and mentoring others on best practices Qualifications 5+ years experience in custom ETL design, implementation and maintenance 2+ years experience with schema design and dimensional data modeling Fluency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, experimental design and A/B testing Good understanding of data structures and pipelines. Experience with data instrumentation, interpretation and visualization tools (eg, Mode, Tableau) Exceptional SQL skills and the ability to tune query performance and knowledge of AWS technologies including EMR, Athena, and Redshift Outstanding communication skills with the ability to interact with business leaders to make business recommendations Experience in programming languages and stats packages (eg Python, Java) is a plus D in computer science, mathematics, statistics, economics or related field Love mentoring and guiding others on best practices. Passionate about the advancement of whole team Genuine passion helping self employed workers and small businesses

Keywords: Intuit, San Francisco , Senior Data Scientist, Business Analytics, Other , Mountain View, California

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