B2B Applied Decision Scientist
| Company | Adobe |
|---|---|
| Location | San Francisco, CA, USA, San Jose, CA, USA |
| Salary | $128600 – $234200 |
| Type | Full-Time |
| Degrees | Bachelor’s |
| Experience Level | Senior, Expert or higher |
Requirements
- 8+ years of experience in marketing analytics in a B2B environment.
- Degree or equivalent experience in Marketing, Statistics, Finance, Computer Science, or other relevant fields.
- Deep domain expertise in B2B marketing strategy and measurement approaches.
- Ability to translate asks from marketing partners into technical requirements to drive cross-functional projects with engineering and technology partners.
- Expertise in SQL, Advanced Excel, and data-driven storytelling.
- Early adopter of AI technologies in the Predictive, Prescriptive, and Descriptive analytics space.
- Strong customer interaction, showcasing a proven track record of guiding measurement strategy and analysis with senior leaders.
Responsibilities
- Distill and synthesize data (qualitative and quantitative, 1st party and 3rd party) and build marketing/B2B data science models that harvest customer intelligence.
- Interact with GTM, Sales, and Growth Marketing teams to help craft business strategy.
- Manage a variety of internal B2B products (from strategy through to execution) passionate about delivering data and insights to Marketers and Sellers.
- Analyze large data sets using SQL, Hive, or Presto and gain insights with Excel and R/Python.
- Develop metrics and corresponding analysis to drive the business forward; conduct complex statistical analyses and translate results into business recommendations.
- Solve in-depth analytical and quantitative problems, including conducting research, analyzing data, developing hypotheses, and synthesizing recommendations.
- Develop the infrastructure for critical metrics and establish the rhythm of the business ecosystem to analyze weekly performance.
- Guide quarterly planning motions and build a target-based structured performance ecosystem.
- Drive committed learning agendas to optimize marketing and business strategy.
- Apply insight to guide growth opportunity assessment.
- Clearly communicate findings, recommendations, and present complex concepts, ideas, and dense data (verbally and in writing) to all types of functions and levels.
Preferred Qualifications
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No preferred qualifications provided.