Position Details
About this role
This senior role supports Allergan Aesthetics Commercial as a Marketing Business Intelligence Sr Analyst partnering with field sales and commercial leadership. The focus is on using advanced analytics to answer marketing and customer performance questions, producing dashboards and actionable recommendations to drive business performance.
Key Responsibilities
- Apply advanced analytics (statistical-modeling, data visualization, data mining) to extract actionable insights
- Develop dashboards for business performance visibility
- Partner with stakeholders and field sales to answer customer and marketing effectiveness questions
- Lead analytical rigor with the Commercial Director team, including customer analyses and opportunity identification
- Work with data engineers to ensure accurate and up-to-date data for analyses
Technical Overview
The position requires advanced analytics including statistical-modeling, data visualization, and data mining using SQL. It includes extracting insights from large-scale structured and unstructured data, performing hypothesis testing and regression, and partnering with data engineers to ensure analytics are powered by accurate, up-to-date data while delivering dashboard reporting in tools such as Tableau or Looker.
Ideal Candidate
The ideal candidate is a senior analytics professional with 3+ years of experience turning data into business decisions, specifically in a marketing business intelligence context. They are highly proficient with SQL, build dashboards (e.g., Tableau or Looker), and apply statistical modeling methods like experiment design, hypothesis testing, and regression to generate actionable insights from structured and unstructured data.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Bachelor's degree in Mathematics, Statistics, Operations Research, Computer Science, Business Intelligence/Analytics or equivalent, 3+ years' experience in driving business decisions with data-driven analyses, Highly proficient with SQL, Experience applying statistical analyses and modeling (experiment design, hypothesis testing, regression)
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