Description

Key Skills: SQL, Python, DBT, AWS, Data Modeling, ELT, Git, Agile, Analytical Engineering, Data Engineering

Good to Have Skills: SPARK, Airflow, Tableau, Power BI, Looker, SVN, AI, ML, Predictive Modeling, Oracle, Redshift, PostgreSQL, CDP Impala, Athena, JIRA, Confluence, ServiceNow, MS Suites

Roles & 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 as a member of the team
• Use ELT framework to help transform raw or semi-structured data into a contextualized data model using DBT and AWS
• 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 following best practices
• 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

Experience Required: 1-3 years of experience in analytical engineering, data modeling, or a similar role

Education: Computer Science, Physics, Math, Data Science, Pharmaceutical Science, or Engineering degree preferred

Key Skills

Education

Any Graduate