Intuit

Intuit Mountain View, CA, USA
May 20, 2019
Full time
Overview We are looking for a great data scientist for our Quickbooks Online (QBO) business. Quickbooks is used by over 5MM SMBs globally to run their businesses and we are the team responsible for using our data to answer the most critical questions facing the QBO Product Managers and Marketers. Everything from understanding the trends in our subscriber growth to shaping our product strategy through A/B testing and more happens within our team and we need top data scientists to help the business deliver the best possible product to our SMB customers. We are growing rapidly and need great people to support our analytical efforts in both Product and Marketing. What does it take to thrive on our team? You need to be a top-notch problem solver and problem identifier as there are no points for an elegant solution to the wrong problem. It's also a good idea to know the standard suite of analytical tools - SQL, R/Python, some sort of data visualization tool - but more importantly you must know how to learn tools quickly. We also often find that having a bit of a software engineering mindset is valued too - much like good software solutions, good analytical solutions are scalable and repeatable as this is what allows us to solve a problem once and go tackle the next one. Last, knowing that in most cases done is better than perfect is important - getting the current problem right to the sixth decimal place is almost always less impactful than getting to the next problem. If this role sounds interesting go check out the product () and if you find this exciting, then we look forward to hearing from you! Responsibilities Solve marketing and product analytics problems by doing work such as developing data structures, pipelines, and data visualizations that enable us to find insights and take action by working with click data, event data, user provided data, third party data, and more Perform analyses that inform decisions on everything from retention strategy to product experience using predictive and descriptive analytical techniques Communicate findings from analyses in a way that enables business leaders to make better decisions Ability to help design and execute product and marketing experiments through A/B testing Qualifications 5+ years of experience in generating and sharing insights from product/marketing data Technical experience including SQL, some form of coding (Python, Scala, etc), and ETL/scheduling such tools as Airflow Experience with data visualization tools such as Tableau, Superset, etc. Experience working with SaaS-based subscription metrics including conversion, retention and product usage is preferred Entrepreneurial spirit and passionate about data Undergrad Degree in Quantitative Field (Masters preferred)
Intuit Mountain View, CA, USA
May 20, 2019
Full time
Overview We have an exciting opportunity on a team that is defining how we use analytics to transform customer experiences, accelerate business growth and optimize ROI. We are looking for a data-driven leader with excellent analytical skills and web analytics experience. Responsibilities Partner with product managers, marketing, and engineering to enable decision support and key customer insights through web tracking metrics Study website behavior patterns using site metric tools to analyze and optimize business results and user experience Uses quantitative data gathered with software measurement tools, traffic extracts, click streams and drill-downs to develop an understanding of customer behavior, demographics and lifecycle Coordinates report requirements with internal customers to meet business objectives Applies statistics-based market intelligence to business issues and formulates recommendations Typically requires proficiency in web analytics applications, strong database skills and technical understanding of website architecture Create dashboards by pulling data from different sources and present them to management team Collaborate with external partners such as Agencies to assist with data collection and reporting Focus reporting and analysis holistically through end to end funnel metrics for campaign and non-campaign channels: click-stream analysis, outcomes analysis, search analysis, multivariate testing analysis Partner within the team to measure impact of website strategy to campaign channels (search & direct marketing), online demand generation, business unit financial performance, product mix, affiliates etc Answer ad-hoc analytic questions and train users to self-serve standard reports leveraging Tableau Ensure site tagging is optimized to provide crystal-clear visibility into the impact and value of new initiatives and product releases Pursue data quality, troubleshoot data validation, and see issues to resolution Qualifications 5+ years of experience in web analytics decision support and website optimization for online/ecommerce businesses Deep subject matter expertise with SQL and Omniture Site Catalyst Understanding of complex web ecosystems, best practices, and ability to put this knowledge into action 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 Project Management skills and ability to manage multiple projects simultaneously to meet objectives and key deadlines Excellent verbal and written communication skills