Job Description :

The Senior Software Engineer of Analytics Engineering provides hands-on technical expertise to develop, deploy, and maintain both core data models and core data layer.

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 (preferably using DBT).

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 (preferably using DBT), proposing 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.

- Independently gather business requirements, establish measurable outcomes, and create analytical product plan translating complexity for various stakeholders.

Qualifications/Degree/Certification/Licensure :

Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering area of study preferred.

- Minimum of 6 years of analytical engineering, data modeling or a similar role.

- Hands-on experience with dbt.

- Proficiency with SQL, SPARK and Python.

- Knowledge of data engineering tools (AWS, Airflow) and visualization tools (Tableau, Power BI, Looker).

- Experience scripting (e.R).

- Experience with version control (e.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.

- Familiarity with AI, ML, predictive modeling a plus.

- Familiarity with our toolkit desired work information process tools (JIRA, Confluence, ServiceNow, MS suites); data-related tools (Oracle, Redshift, PostgreSQL, CDP Impala, Athena).

- Proven experience in guiding large, complex projects that involve collaborating with team members from various functions