onsite
Analytics Engineer - Morgan & Morgan
Data Engineer
Analytics Engineer building scalable forecasting models and production‑grade analytics tools using Python, SQL, Airflow, and AWS, while visualizing insights with Tableau to drive strategic decisions.
About the role
Key Responsibilities
- Design, develop, and maintain forecasting and analytical models that inform strategic planning, staffing, and financial decision‑making.
- Build and deploy production‑grade data pipelines and model deployments using Airflow and AWS services.
- Develop internal tools and automations to streamline data access, model monitoring, and reporting.
- Collaborate with cross‑functional teams to translate business requirements into data solutions.
- Ensure data quality, documentation, and compliance with governance standards.
Requirements
- Proven experience with Python, SQL, and data modeling techniques.
- Hands‑on expertise in Airflow, AWS (S3, Redshift, Lambda), and data orchestration.
- Strong analytical skills and ability to translate complex data into actionable insights.
- Experience with data visualization tools such as Tableau or Power BI.
- Excellent communication skills and a collaborative mindset.
Skills
pythonsqlairflowawstableau