Principal Business Data Analyst

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.

Responsibilities:

1. Develop data-driven insights to drive marketing decisions and improve business outcomes.
2. 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.
3. Utilize time-series forecasting models to predict growth and set the right growth goals, and develop frameworks to implement marketing attribution models.
4. Design, launch, and analyze experiments to understand the incrementality of different messaging and creative campaigns.
5. Design a measurement approach and identify flaws in experiment practices and results, especially in 3P environments.
6. Collaborate with marketing, product, and engineering teams to identify insights and guide new campaign and growth roadmaps.
7. Manage data integration and engineering with marketing technology platforms for data hygiene, segmentation, and targeting.
8. Partner with cross-functional teams to initiate, lead, or contribute to large-scale/complex strategic projects.
9. 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.
10. Optimize our marketing efforts and enable customer retention through push campaigns and other organic avenues.
11. Apply expertise in data mining and data presentation, as well as knowledge of marketing channels and platforms, to identify opportunities.

Minimum Requirements:

• 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 language.
• 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.