The company is looking for an Analytics Engineer to bridge the gap between data science, data engineering, and business problem-solving by creating reliable analytical workflows, improving machine learning models, and transforming business requirements into technical solutions.
Requirements
- Strong Python development background (not just notebook work)
- Google Cloud Platform experience
- High-level understanding of machine learning concepts and model integration processes
- SQL querying fluency
- Pandas + NumPy hands-on
- Bokeh data visualization experience
- Data modeling + ETL exposure
Responsibilities
- Build, enhance, and update Python-based analytical workflows, including ML model updates/refinements
- Translate stakeholder/business requirements into clear technical implementation steps
- Query, model, and transform data using SQL, Pandas, and NumPy
- Design and validate analytics with strong quality assurance practices
- Work independently on analysis, model upgrade tasks, and code contributions
- Deliver analytics and visualizations using Bokeh
- Use Git version control for collaborative development
Other
- Bachelor’s degree in a STEM field
- Quality assurance mindset
- Ability to work independently
- Experience translating business ask → technical plan
- Agile/Scrum delivery experience
