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

• 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.