Analytics Engineer, Data Science
Core
Building and scaling data foundations to enable fast, reliable, and actionable insights for decision-making across business teams.
Role type
Analytics Engineer
Builds
Internal data products, self-serve tools, and canonical datasets for Product, Operations, Finance, and other domains.
Domain
Food delivery / Logistics / E-commerce
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python or Scala, ETL/ELT pipeline development, data warehousing concepts, data visualization, data quality checks
Preferred skills
SQL performance tuning, strategic thinking, cross-functional collaboration
Technologies
Tableau, Sigma, Mode, Looker, S3, Trino, Hive, Spark, Pydeequ, Great Expectations
Responsibilities
Collaborate with data scientists and engineers to translate business needs into data requirements; Develop structured solutions to identify and solve key business questions; Lead development of data products and self-serve tools; Build and maintain canonical datasets using high-volume ETL/ELT pipelines; Design metrics and data visualizations using dashboarding tools; Uphold high data integrity standards to increase reusability and standardization
Seniority
Mid-level (2-6+ years experience)
