Manager, Analytical Engineer

Description:

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, well-modeled, and optimized for business intelligence and decision-making. This role requires strong technical expertise in data 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.

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 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.
   

Qualifications/Degree/Certification/Licensure
 

• 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, ServiceNow, MS suites); data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena)