Software-Engineer--Analytical-Engineering

Working with Us Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible. Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us . The Software Engineer  of Analytics Engineering provides hands-on technical support to help develop and maintain core data models and the core data layer, working closely with and under the guidance of senior team members. This role is ideal for an early-career engineer who is eager to build foundational skills in developing robust, scalable, and well-documented data models and pipelines, while supporting self-service analytics across the organization. We are seeking a motivated Analytical Engineer with 1-3 years of experience to join our team. This role bridges the gap between data engineering and data analytics, focusing on transforming raw data into structured, business-ready datasets. The ideal candidate will support the design, development, and implementation of analytical workflows, helping ensure that data is clean, well-modeled, and optimized for business intelligence and decision-making. This role requires foundational technical skills in data transformation, modeling, and pipeline optimization (preferably using DBT). Additionally, a successful candidate is an effective communicator who is comfortable learning to explain technical information to a variety of stakeholders. Key Responsibilities and Major Duties 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. Qualifications/Degree/Certification/Licensure 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