Senior Manager, Analytical Engineer

Role Summary

Senior Manager, Analytical Engineer. The role provides hands-on technical expertise to develop, deploy, and maintain core data models and data layer infrastructure to enable self-service analytics across the organization. Bridges data engineering and data analytics to transform raw data into structured, business-ready datasets and analytical workflows.

Responsibilities

• Collaborate with the business to gather requirements and deliver data-products to enable data-informed decision-making.
• 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 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.
• Independently gather business requirements, establish measurable outcomes, and create analytical product plan translating complexity for various stakeholders.

Qualifications

• BA/BS or higher required
• Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred
• Minimum of 5 years of analytical engineering, data modeling or a similar role
• 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 toolkit: JIRA, Confluence, ServiceNow, MS Suite; data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena)
• Proven experience guiding large, complex projects with cross-functional collaboration

Education

• BA/BS or higher required (as above)