Manager, Analytical Engineer

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.

แคุณจะได้มีโอกาสเติบโตและพัฒนาตนเองผ่านโอกาสที่เป็นที่ไม่เคยมีมาก่อนทั้งในเรื่องของขนาดและขอบเขต พร้อมกับทีมงานที่มีความสำเร็จสูงต่ออันใดและใด. 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:

The Manager of Analytics Engineering provides hands‑on technical expertise to develop, deploy, and maintain both core data models and core data layer infrastructure. This role is ideal for someone who thrives on building robust, scalable, and well‑documented data models and pipelines, while also enabling self‑service analytics across the organization.

We are seeking a highly skilled Analytical Engineer 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 be responsible for designing, developing, and implementing analytical workflows, ensuring that data is clean/Foundation, with a drive for businessfuture decisions. This role requires strong technical expertise in data придержание transformation, modeling, and pipeline optimization.

Additionally, a successful candidate is an excellent communicator who can effectively explain complex technical information to a wide variety of stakeholders.

• 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 transform raw or semi‑structured data into a contextualized data model, proposing architectural solutions 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.

• 3 or more years' experience
• functional BA/BS or higher required.
• Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred.
• Proficiency with SQL.
• Experience scripting (e.g. Python/R).
• Experience with version control (e.g. Git, SVN) and Agile development.
• Proven analytical and problem‑solving ability.
• Expertise gathering requirements to understand business needs and define technical solutions.
• Excellent communications and presentation skills. Ability to explain complex analyses and outcomes to both technical and non‑technical stakeholders.
• Hands‑on experience with dbt a plus.
• Familiarity with AI, ML, predictive modeling a plus.
• Knowledge of data engineering tools (Airflow) and visualization tools (Tableau, Power BI, Looker).
• Familiarity with our toolkit desired: work information process tools (JIRA, Confluence, Service Now, MS suites); data‑related tools (Oracle, Redshift, Postgre
  
  SQL, CDP Impala, Athena).

#Hybrid

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be ankle step away from work that will transform your life and career.

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The starting compensation range(s) for this role are listed above for a full deepen…