Senior Data Analyst & Analytics Engineer

Jetro Restaurant Depot; New York (NY); On-site; USD 110,000 - 150,000; Full time

Job summary

Jetro Restaurant Depot in New York, NY is seeking a data analyst/scientist to drive analytics projects end-to-end, including data engineering, descriptive analysis, predictive modelling, reporting and visualizations.

You will apply advanced Python, SQL, Airflow, and visualization tools such as Plotly Dash or Streamlit, containerized with Docker, and operate in a Unix environment. A Bachelor's in Analytics/Statistics/Data Science is required.

Qualifications

• 3+ years in a data analyst or data scientist role.
• Experience leading analytics/projects from start to finish including data engineering, descriptive analysis, predictive modelling, reporting, and visualizations.
• Advanced knowledge of Python for data analysis, statistics, and ML stacks.
• Expertise using SQL to extract and transform data; writing efficient queries and stored procedures.
• Experience extracting, cleaning, validating, and analyzing datasets from multiple sources with varying data quality.
• Experience writing DAGs in Apache Airflow.
• Experience using Docker to containerize workflows.
• Experience interacting with Unix OS through the command line.
• Experience with Plotly Dash or Streamlit.
• Familiarity with Selenium is a plus; numerical optimization is a plus.
• Bachelor's or higher in Analytics/Statistics/Data Science or related.
• Strong working knowledge of MS Office (Excel, Word, PowerPoint)
• Ability to multi-task and adapt priorities as directed by management.
• Self-motivated to document processes and share knowledge.

Skills

Data analysis

Statistical modelling

Python

SQL

Data engineering

Airflow

Unix command line

Plotly Dash

Streamlit

Selenium

Numerical optimization

MS Office

Education

Bachelor's degree in Analytics/Statistics/Data Science

Tools

SQL

Airflow

Docker

Plotly Dash

Streamlit

Selenium

Unix shell

Excel

Job description

Jetro Restaurant Depot in New York, NY is seeking a data analyst/scientist to drive analytics projects end-to-end, including data engineering, descriptive analysis, predictive modelling, reporting and visualizations.

You will apply advanced Python, SQL, Airflow, and visualization tools such as Plotly Dash or Streamlit, containerized with Docker, and operate in a Unix environment. A Bachelor's in Analytics/Statistics/Data Science is required.