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Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Manager, Analytical Engineer

Data EngineeringPosted on Nov 11
Full-timeDublin, Ireland

About the Job

Requirements

  • A BA/BS or higher is required.
  • A degree in Computer Science, Physics, Mathematics, Data Science, Pharmaceutical Science, or an Engineering area of study is preferred.
  • At least four years of experience working in an analytical or data field is required.
  • Proficiency with SQL is required.
  • Experience scripting in Python or R is required.
  • Working knowledge of DAG-based and asset-based pipeline design is required.
  • Experience with version control such as Git or SVN and Agile development is required.
  • Experience working in or alongside Agile/Scrum teams is highly desired.
  • Expertise gathering requirements to understand business needs and define technical solutions is required.
  • Experience explaining complex analyses and outcomes to technical and non-technical stakeholders is required.
  • Hands-on experience with dbt is a plus.
  • Familiarity with work information process tools including JIRA, Confluence, ServiceNow, and Microsoft suites, and data-related tools including Databricks and dbt is desired.

Responsibilities

  • Collaborate with the business to gather requirements and deliver data products that enable data-informed decision-making.
  • Develop a centralized data layer to deliver data products at scale to the business.
  • Incorporate domain-specific data marts into a centralized, foundational core.
  • Harmonize data across manufacturing sites, software, and platforms for enterprise-level consumption.
  • Design organized and scalable architectural solutions to drive efficiency.
  • Define orchestration strategies across multiple data domains.
  • Work within a governed metadata framework where documentation is a delivery requirement.
  • Use dbt to deliver documented, tested, and DRY (don't-repeat-yourself) code.
  • Follow analytical lifecycle processes and quality frameworks to deliver accurate data to internal consumers on time.
  • Develop innovative solutions to increase speed to delivery and accelerate business decision-making.
  • Develop, deploy, and maintain core data models and core data-layer infrastructure.
  • Design and maintain dimensional data models, including star and snowflake schemas, fact and dimension tables, slowly changing dimensions, and conformed dimensions across multiple subject areas.
  • Perform data transformation, modeling, and pipeline optimization.

Desired Qualifications

  • Experience working in or alongside Agile/Scrum teams is highly desired.
  • Hands-on experience with dbt is a plus.
  • Familiarity with work information process tools including JIRA, Confluence, ServiceNow, and Microsoft suites, and data-related tools including Databricks and dbt is desired.

About the Company

Bristol Myers Squibb

Makes drugs for cancer, blood and immune diseases

Bristol Myers Squibb discovers, develops and sells prescription medicines for serious illnesses, including cancer, blood disorders, immune diseases and heart disease, for patients treated by doctors and hospitals around the world. Its best-known drug is Opdivo, an immunotherapy that helps the body's own immune system find and attack many kinds of cancer. Researchers develop drug candidates in its labs or bring them in through acquisitions and partnerships, then test them in clinical trials to win regulatory approval. The company makes and markets the approved medicines and earns its revenue from sales of patent-protected drugs. Its roots go back to a business founded in 1887, and it is based in Lawrence Township, New Jersey.

Company size
10,001+
Company stage
IPO
Headquarters
Lawrence Township, NJ
Founded
1887

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