Senior Analytics Engineer – Data Applications
Core
Design and develop interactive, data-driven applications and scalable data pipelines to support supply chain, operations, planning, and decision-making.
Role type
Senior Analytics Engineer (Full Stack)
Builds
Self-service data solutions, interactive web applications, and curated datasets for operations and planning.
Domain
Supply chain, logistics, and manufacturing analytics.
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, advanced data modeling, Python, Snowflake, dbt, Airflow, RESTful API development, Git, CI/CD, Docker
Preferred skills
Tableau, Power BI, demand planning, inventory optimization, procurement analytics, large-scale data performance optimization
Technologies
Plotly Dash, Panel, FastAPI, Flask, Snowflake, dbt, Airflow, Spark, S3, Smartsheet, Docker
Responsibilities
Design and build scalable data pipelines; develop user-centric interactive web applications; integrate applications with data platforms and APIs; partner with stakeholders to translate business requirements; mentor junior engineers.
Seniority
Senior, hands-on IC with mentorship