Overview We are looking for an experienced and highly-motivated Senior Analyst to join our Marketing Analytics team. You must have a strong background in data science, inference, automation and experimentation, be able to communicate effectively with stakeholders, and have a passion for driving data-informed solutions. What you'll bring + Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, or related field. + MS in a quantitative field such as computer science, statistics, economics, math, or equivalent work experience + BS + 8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data. + Strong background in statistical analysis, programming, and experimentation. + Proven ability to apply scientific methods to solve real-world problems on web-scale data. + Expertise in at least one scripting language (ideally Python/R), with experience building models in either langugage + Proficiency in SQL and Hive. + Strong business and product sense: delight in shaping vague questions into well-defined analyses and success metrics that drive business decisions. + Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership teams. + Experience in querying and manipulating large data sets. + Knowledge to translate quantitative findings into actionable insights and influence business decisions. + Meaningful time as a data scientist partnering with business functions, ideally with Email/Push marketing teams, and having expertise in analyzing content. + Ability to draw on experience to identify where data can have the most impact and clearly communicate findings and recommendations to partner teams. + Ability to turn ambiguous questions and problems into clear deliverables and insights. + Ability to make tradeoffs between speed and accuracy wisely How you will lead + Develop data-driven insights to drive marketing decisions and improve business outcomes. + Utilize models and develop advanced experimentation methods, such as synthetic controls, propensity score matching techniques etc. to measure marketing's impact across our suite of products. + Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models. + Design, launch, and analyze experiments to understand the incrementality of different messaging and creative campaigns. + Design measurement approach and identify flaws in experiment practices and results, especially in 3P environments. + Collaborate with marketing, product, and engineering teams to identify insights and guide new campaign and growth roadmaps. + Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting. + Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects + Act as a thought partner to senior leaders to prioritize/scope projects, provide recommendations, and evangelize data-driven business decisions in support of strategic goals. + Optimize our marketing efforts and enable customer retention through push campaigns and other organic avenues + Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities. EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.