Manager, Marketing Analytics (Multi-Touch Attribution)

J
JobgetherPharmaceutical analytics
Based in the United StatesFull-TimeManager
Salary not disclosed
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Job Details

Experience
At least 6 years of experience in marketing analytics, measurement, or data science, including a minimum of 3 years in pharmaceuticals, healthcare, or life sciences.
Required Skills
PythonSQLSnowflakeR

Requirements

  • Have at least 6 years of experience in marketing analytics, measurement, or data science, including at least 3 years in pharmaceuticals, healthcare, or life sciences.
  • Have demonstrated experience designing and delivering MTA or equivalent customer journey analytics projects.
  • Bring strong SQL skills and proficiency in at least one of Python or R.
  • Have practical experience with cloud data environments such as Snowflake, Databricks, or BigQuery.
  • Understand statistical modeling, causal inference, and experimental design, including the strengths and limitations of MTA, MMM, and incrementality testing.
  • Have working knowledge of pharmaceutical data sources such as IQVIA, Symphony, and Veeva CRM, as well as promotional channels and commercial operations.
  • Understand marketing mix and omnichannel analytics and how customer interactions relate to promotional strategies and commercial outcomes.
  • Have experience leading or mentoring a team of at least three people.
  • Be able to present complex analytical findings to senior stakeholders and adapt communications for technical and executive audiences.
  • Hold a bachelor’s degree in a quantitative or business-related discipline; an advanced degree is preferred.
  • Experience with commercial measurement platforms or third-party MTA tools, patient journey analytics, omnichannel orchestration, next-best-action frameworks, or consulting, agency, or analytics vendor environments is preferred.

Responsibilities

  • Manage multi-touch attribution projects from scoping through delivery, setting timelines, budgets, success criteria, and stakeholder expectations.
  • Design and implement attribution frameworks using rules-based, probabilistic, and algorithmic approaches, including Markov chains, Shapley values, logistic regression, and Bayesian models.
  • Integrate prescription and claims data, CRM and field call activity, digital and email engagement, media delivery, samples, and market access data.
  • Apply marketing mix and omnichannel analytics to assess how promotional channels and customer interactions contribute to business outcomes.
  • Compare MTA findings with marketing mix modeling, geographic analyses, holdout experiments, incrementality testing, and other measurement approaches.
  • Present actionable findings on channel return on investment, customer journey sequencing, campaign effectiveness, and budget reallocation to executive stakeholders.
  • Oversee code quality, model validation, documentation, and reproducibility across analytical projects.
  • Manage, coach, and mentor consultants and analysts, including workload planning, feedback, and professional development.
  • Contribute to proposals, thought leadership, methodological improvements, and reusable analytical tools and accelerators.
  • Maintain adherence to applicable regulations and internal standards, including the PhRMA Code, OPDP guidance, HIPAA, GDPR, and CCPA.
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