Intuit is looking for a Senior Analyst to join their Marketing Analytics team to develop data-driven insights to drive marketing decisions and improve business outcomes.
Requirements
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.
Experience in querying and manipulating large data sets.
Knowledge to translate quantitative findings into actionable insights and influence business decisions.
Responsibilities
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.
Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting.
Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.
Other
Be able to communicate effectively with stakeholders
Have a passion for driving data-informed solutions.
Collaborate with marketing, product, and engineering teams to identify insights and guide new campaign and growth roadmaps.
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.
