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B2B Applied Decision Scientist

B2B Applied Decision Scientist

CompanyAdobe
LocationSan Francisco, CA, USA, San Jose, CA, USA
Salary$128600 – $234200
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior, 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

    No preferred qualifications provided.