Software-Engineer--Analytical-Engineering

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Skills you'll use

What you'll do

• Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making.
• As a member of the team, develop a centralized data-layer to deliver data-products at scale to the business.
• Use ELT framework to help transform raw or semi-structured data into a contextualized data model (preferably using DBT), supporting architectural solutions (preferably AWS) to drive efficiency.
• Partner with AI and ML teams to deliver the data skeleton for AI-enabled internal tools.
• Work within DBT to deliver documented, tested, and DRY (“don’t-repeat-yourself”) code.
• Follow analytical lifecycle process and quality frameworks to deliver accurate data to internal consumers on-time.
• Focus on innovative solutions to increase speed-to-delivery and accelerate business decision-making.
• Support gathering of business requirements, help track measurable outcomes, and assist in developing analytical product plans, learning to translate complexity for various stakeholders.

Who can apply

• Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred
• 1-3 years of experience in analytical engineering, data modeling, or a similar role
• Some hands-on experience with or exposure to dbt(Not mandatory)
• Proficiency with SQL, SPARK and Python
• Knowledge of data engineering tools (AWS, Airflow) and visualization tools (Tableau, Power BI, Looker)
• Experience with version control (e.g. Git, SVN) and Agile development
• Proven analytical and problem-solving ability
• Developing ability to gather requirements to understand business needs and support technical solutions
• Good communication and presentation skills, with a willingness to develop the ability to explain analyses and outcomes to both technical and non-technical stakeholders
• Familiarity with AI, ML, predictive modeling a plus

About Bristol Myers Squibb

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