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 or equivalent experience
+ MS in a quantitative field such as computer science, statistics, economics, math, or equivalent work experience + BS
+ 3+ 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 paid marketing teams, and having expertise in analyzing brand campaigns.
+ 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 to make sure our marketing spend has the best possible ROI.
+ Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.
+ Influence team's roadmap by sharing findings with the rest of the company, and driving and verifying change in our marketing channel spend
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.