Insights & Analytics Senior Specialist

AstraZenecaGaithersburg, MD
Hybrid

About The Position

Responsible for translating business problems into robust analytical and data visualization solutions using established tools and frameworks. Collaborate with internal partners to support actionable insights, ensure compliance with quality and governance standards, and keeps current with emerging trends in analytics. The role requires strong data analysis skills, technical proficiency with tools like Python and R, and effective communication—typically within a local, cross-functional environment.

Requirements

  • Bachelor’s (or undergraduate) degree in a relevant field (such as Computer Science, Data Management, quantitative, or business domain), or demonstrable equivalent experience
  • Demonstrated experience performing data analysis, including requirements definition, identification of critical data elements, setting data quality criteria, and drawing/presenting conclusions to partners
  • Familiarity with data analytic and visualization tools (such as R, Python, and databases)
  • Strong written and verbal communication and consultancy skills.

Nice To Haves

  • Post-graduate degree or advanced study in IT, Data Management, or a quantitative/scientific field, or equivalent
  • Experience in life sciences and healthcare
  • Experience working in a complex, global organization.

Responsibilities

  • Translate business problems into analytics or data solutions using established frameworks and tools.
  • Develop and/or supports analytical and data visualization solutions using business intelligence, reporting, and analytical software (such as R, Python, and database tools) for scientific and business applications within a defined project scope.
  • Clearly and objectively communicate insights and results, along with their uncertainties and limitations, to partners.
  • Develop ongoing knowledge of trends, standard processes, and new developments in analytics, data analysis, or data visualization.
  • Implement governance frameworks, standards, and quality practices to ensure compliance and robust delivery of work.
  • Support internal partners (business, IT, project, or data teams) in the delivery and value realization of data and analytical solutions.
  • Operate as an individual contributor with no direct or indirect people management responsibility.
  • Work within remit of their own country.

Benefits

  • qualified retirement program [401(k) plan]
  • paid vacation and holidays
  • paid leaves
  • health benefits including medical, prescription drug, dental, and vision coverage
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